bus302 -what is the prime factor influencing bbs

BUS 302

“What is the prime factor

influencing BBS students’

choice of Major?”

Research Paper

BUS 302

December 07, 2014

Page 1

SUBMITTED BY

Sl. Name I.D.

1 Samiya Yesmin 11304043

2 Protiti Khan 11304018

3 Sadid Mahmud 10204075

4 Jubaer Al Noman 09204090

5 Mir Sharif 11304033

“What is the prime factor influencing BBS students’

choice of Major?”

Dr. Azmeri Khan

Section 02

12/07/2014

BUS 302

December 07, 2014

Page 2

LETTER OF TRANSMITTAL

Date: December 07, 2014

Dr. Azmeri Khan

Adjunct Faculty

BRAC Business School

Subject: Approval for the submission of BUS302 research paper.

Dear Madam,

With due respect and regards we have completed our term paper for our course

BUS302 (Research Methods in Business & Management).

We have tried our best to work closely with our sample data & everything taught in

class. However, if any mistakes are found, we are sorry for that. With this we are submitting

the term paper for your perusal.

Yours Sincerely,

Samiya Yesmin ………………

Protiti Khan ………………

Sadid Mahmud ………………

Jubaer Al Noman ………………

Mir Sharif ………………

BUS 302

December 07, 2014

Page 3

CONTENTS

Letter of Transmittal .................................................................................................................. 2

1. Summary....................................................................................................................... 4

Research Details: ....................................................................................................... 5

Methodology.............................................................................................................. 6

Limitations:................................................................................................................ 6

2. Literature Review ......................................................................................................... 7

3. Prime Factors Influencing BBA Students’ Choice Of Major:...................................... 8

Factor 1: The scope to gain knowledge ..................................................................... 8

Factor 2: Future Job Opportunities ........................................................................... 9

Factor 3: Personal Preference .................................................................................. 11

Factor 4: Family Influence ...................................................................................... 12

Factor 5: Peer Influence........................................................................................... 14

Factor 6: Faculty Influence...................................................................................... 15

Factor 7: Opportunity to study abroad..................................................................... 17

4. Cross Analysis: ........................................................................................................... 18

5. Conclusion & Recommendation................................................................................. 21

6. Appendix .................................................................................................................... 21

6.1 Works Cited ....................................................................................................... 21

6.2Table of Figures:................................................................................................. 21

6.3 Questionnaire..................................................................................................... 22

6.4 Value Calculations............................................................................................. 23

BUS 302

December 07, 2014

Page 4

1. SUMMARY

Choosing a Major is important decision in the person life because its effect in the

study continuity, success or failure, satisfaction or dissatisfaction, and determine the job

opportunity, appropriate financial return and social status, therefore, Beggs et .al (2008)

define "good" major choice as the major best capable of helping the student to achieve their

educational and post-education goals, they added the matching between the students' abilities

and interest and the abilities required for the major is important in selection majors by

undergraduate business students. The purpose of this study was to examine some of the

factors that influence and impact business students when they select their major. Factors

related to familiarity with possible career options and sources of information were examined.

In addition, traditional factors, such as those related to career outcomes, characteristics of the

profession itself, and referent groups, were also examined. Respondents were more

knowledgeable about careers in management, marketing, accounting, and finance than they

were about careers in other areas. Factors related to the profession itself, such as personal

interest in the subject matter, knowledge gain, job opportunity, influence of peers, faculty and

parents, value of the subject in abroad, had great importance when selecting a major. In our

research we have considered BRAC Business School students, only. They have been

provided with a survey question to reflect their choices of major. The research was conducted

to identify the prime factor influencing BBS students’ choice of Major.

The research was conducted with limited time duration, few volunteer research

members and with constrained resources. The research respondent was randomly selected

from the BBS department students. Efforts were given to restrain any manner of biasness or

research manipulation.

BUS 302

December 07, 2014

Page 5

RESEARCH DETAILS:

Research Question:

“What is the prime factor influencing BBS students’ choice of Major?”

It is important to know what the students are considering preferable for their future

and the reasons behind it. To answer this question, a qualitative approach has been taken

through conducting a structured questionnaire survey, and we have considered knowing the

facts and all the necessary data was available to find out the main factors that are influencing

their decision.

Type of Research:

Formulating a framework for a proper research and deciding on the type of research

that will be followed is very important. Our research type here is Causal, where essentially

we needed to understand which variables are the cause, and which variables is the effect. In

this scenario, the seven different factors were the cause, and the decision taken influenced by

those factors is the effect.

Sampling:

As our population was BRAC Business School students, from which we took a

sample of 60 students. Here in our research, we did “Non-Probability Sampling”, because

Non-Probability sampling is useful for expert researchers not for Novice like us. So, we go

for Non - Probability sampling.

Variable traits:

The entire possible attribute of a variable is known as trait of the variable. Here in our

research the trait is: Student= (Male, Female).

This is mutually exclusive, it means one student cannot be male and female student all

together; same student do not answer twice. In our research, we only focus on 60 students and

made comments depending on their information.

BUS 302

December 07, 2014

Page 6

Time reference:

Research is “Cross Sectional”, as because here we pick up a slice of time to know

what the reason behind deciding major. This research is not longitudinal because here

researcher observes the same individual or thing on different time; longitudinally they are

moving, but here in our researcher we do not do such things. It is not repeated, as we do not

do our researcher repeatedly, last but not the least, it is not time series, as it is not fixed on

calendar time like calculating GDP.

METHODOLOGY

Only primary data have been used for the purpose of this study. To collect the primary

data a questionnaire was designed in light of the objectives of the study. Students of Brac

Business School, both males and females were asked to fill up the questionnaire that had been

provided online. We asked ordinal question to rank the factors influencing their major course

decision. We told the respondents to tick the preference 1, 2, 3, 4 or 5 to the factors, where 1

is “highly disagree” and 5 is the “highly agree” in case of the respondent's decision.

LIMITATIONS:

There were several limitations to this study. Firstly, the estimated results may not

represent the population as no clear image can be observed about the feature and size of the

population. Secondly, the data were collected only from Brac Business School through a

sample of 60 students. The study sample was little if compared to the total number of

students studying in BBS and decided major. Thus the results may not indicate the actual

result that we have tried to find out.

BUS 302

December 07, 2014

Page 7

2. LITERATURE REVIEW

For our research paper we studied some articles and journals in order to get a clear

understanding and view about our research question. Making decisions regarding the choice

of major for business administration students is both important and challenging. An

understanding of this decision-making process can be valuable for students, parents, and

university programs.

From an article on “An Examination of Factors Influencing Students Selection of

Business Majors” of Decision Sciences (Journal of Innovative Education) published in 25th

December 2012, that their study applies the Theory of Reasoned Action (TRA) consumer

decision-making model to examine factors that influence college students’ intentions to

choose a business major. A total of 670 undergraduate students enrolled at a large mid

western university participated in the study. Social image, job availability, and aptitude were

found to be significant factors that impact students’ decisions to select a business major. The

results also reveal that family, high-school counselors, and professors have a major influence

on students’ decisions. Furthermore, some unique differences were found related to gender

and decided/undecided status of students.

We also found another article from IOSR Journal of Business and Management

regarding Factors that influence choice of Business Major. The purpose of their study was to

examine the impact of personal factors and future job factors on choice of business as a major

field of study. The study also aimed to investigate the relationship between students' gender,

general secondary average and the branch in general secondary, and the choice of business as

a major, from the perspective of business students at Tafila Technical University (TTU) in

academic year 2011/2012. The study reached that the parents have a significant influence on

the major selection, siblings and friends also consider important source to select the major,

while the teachers and media are least amongst the selected factors. The respondents give

more importance for future job factors; they agreed that the future earning, career option,

occupational prestige and type of work are the most important factors that affect the selection

of the business major. The results also, mentioned that there is a significant relationship

between independent variables (i.e. gender, general secondary average and the branch in

general secondary) and dependent variable (i.e. choice business as a major field of study).

BUS 302

December 07, 2014

Page 8

3. PRIME FACTORS INFLUENCING BBA STUDENTS’

CHOICE OF MAJOR:

We have identified seven prime factors that influence a bachelor of business administration student’s choice of Major, for his/her degree. They are:

1. The scope to gain knowledge in that field of Major. 2. Future job opportunities in that field of Major.

3. Personal preference regarding choice of Major. 4. Family influence on student’s choice of Major. 5. Peer influence on student’s choice of Major.

6. Faculty influence on student’s choice of Major. 7. Future opportunities to study abroad, for post graduation degrees.

After collecting data through our questionnaire on these seven factors, we have analyzed it in three methods. They are:

1. Frequency Table.

2. Hypothesis testing for each factor. 3. Cross comparison.

We used excel to compute all our calculations and figures, especially for finding the Pearson’s r-value and the p-value, we did Regression.

FACTOR 1: THE SCOPE TO GAIN KNOWLEDGE

Frequency Analysis:

T ABLE 1: FACTOR 1 FREQUENCY T ABLE

FIGURE 1: FACTOR 1 FREQUENCY GRAPH

Interpretation:

30% of students do “Agree” that “to gain knowledge” is an important factor while

deciding one’s choice of major, while 14% “Highly Agree” and 12% are “Neutral” about it. So there really isn’t a clear picture of the correlation between the factor and its importance.

To Gain Knowledge

Frequency Frequency Percentage

Highly Agree 14 23%

Agree 30 50%

Neutral 12 20%

Disagree 4 7%

Highly Disagree 0 0%

Total 60 100%

0

10

20

30

40

Highly

Agree

Agree Neutral Disagree Highly

Disagree

To Gain Knowledge

BUS 302

December 07, 2014

Page 9

Hypothesis Test:

Value

Pearson's correlation (r) 0.35

p-Value 0.0061

N 60

Α 5%

Interpretation:

Step 1: Ho: To Gain Knowledge is the prime factor to decide Major

Ha: To Gain Knowledge is NOT the prime factor to decide Major

Step 2: Here the level of Significance (α) = 0.05.

Step 3: We have used z-test and it is a two tailed test in this hypothesis testing

Step 4: p-value= 0.0061

Step 5: Here, p-value= 0.0061, α/2= 0.05/2= 0.025

Now, 0.0061< 0.025

P-value < α/2

Step 6: To accept Ho, p-value > α/2

As p-value, 0.0061, is less than α /2, 0.025, we will accept Null Hypothesis (Ho). So, we are

accepting Alternative Hypothesis (Ha).

Step 7: So, student do prefer to gain knowledge for selecting major course. They are strongly

positively correlated, r=0.35.

FACTOR 2: FUTURE JOB OPPORTUNITIES

Frequency Analysis:

T ABLE 2: FACTOR 2 FRQUENCY T ABLE

Figure 2: Factor 2 Frequency graph

Job opportunity

Frequency Frequency Percentage

Highly Agree 15 25% Agree 32 53% Neutral 10 17%

Disagree 2 3% Highly

Disagree 1 2%

Total 60 100%

0

10

20

30

40

Highly

Agree


Disagree

Job Opportunity

BUS 302

December 07, 2014

Page 10

Interpretation:

53% Students “Agree” that future job opportunity is a very important factor while

deciding one’s choice of major. So to show the exact relationship the factor and its importance, we’ll do the hypothesis test.

Hypothesis Test:

Value


p-Value 0.618

N 60

Interpretation:

Step 1: Ho: Future Job Opportunity is the Prime Factor to Decide Major

Ha: Future Job Opportunity is NOT the prime factor to decide Major


Step 3: We have used z-test and it is a two tailed test in this hypothesis.

Step 4: p-value= 0.618

Step 5: Here, p-value= 0.618 and α /2=0.05/2=0.025

0.618>0.025

p-value> α /2

Step 6: To accept Ho, p-value> α /2

Here, p-value is greater than α /2 value. We will not rejecting null hypothesis (Ho).

Step 7: So, students consider Future Job opportunity as prime factor as Major course. They

are weakly positively correlated, r=0.065.

BUS 302

December 07, 2014

Page 11

FACTOR 3: PERSONAL PREFERENCE

Frequency Analysis:

T ABLE 3: FACTOR 3 FEQUENCY T ABLE

Interpretation:

From the Frequency table we can see that maximum number of students “Agree” that “Personal Preference” is a prime factor to decide

their Major. The relation is on the positive side.

But there is a high number of students

who “Highly agree” and who are “Neutral” about this. Therefore from here we cannot conclusively say that Personal Preference is the prime factor

to decide major.

And hence we will carry out a hypothesis test.

FIGURE 3: FACTOR 3 FREQUENCY

GRAPH

Hypothesis Test:

Value


p-Value 0.244

N 60

Personal

Preference Frequency

Frequency Percentage

Highly Agree 19 32%

Agree 22 37%

Neutral 11 18%

Disagree 7 12%


Total 60 100%

0

5

10

15

20

25

Highly

AgreeAgree Neutral Disagree Highly

Disagree

Fre

qu

en

cy

Personal Preference

BUS 302

December 07, 2014

Page 12

Interpretation:

Step 1: Ho: Personal Preference is NOT the prime factor to decide Major

Ha: Personal Preference is the prime factor to decide Major


Step 3: We have used z - test and it is a two tailed test in this hypothesis

Step 4: p value= 0.244

Step 5: Here p - value = 0.244 & α /2 = 0.05/2 = 0.025

Since, p > α /2

i.e. 0.244 > 0.025

Step 6: Therefore we fail to reject the Null Hypothesis (Ho).

Step 7: Therefore we can say Personal Preference is not the prime factor to decide major.

They are strongly positively correlated, r=0.153.

FACTOR 4: FAMILY INFLUENCE

Frequency Analysis:

T ABLE 4: FACTOR 4 F REQUENCY T ABLE


Family Influence Frequency Frequency

Percentage

Highly Agree 12 20%

Agree 22 37%

Neutral 22 37%

Disagree 4 7%


Total 60 100%

0

5

10

15

20

25

Highly

Agree


Disagree

Fre

qu

en

cy

Family Influence

BUS 302

December 07, 2014

Page 13

Interpretation: From the frequency table, we can see that equal number of studnts “Agree” and are “Neutral” about the fact that Family Influence is the Prime Factor to decide

major. Therefore from this we cannot conclusively say that whether Family Influence is the prime factor to decide the major or not.

Hypothesis Test:

Interpretation:

Step 1: Ho: Family Influence is the prime factor to decide Major

Ha: Family Influence is NOT the prime factor to decide Major


Step 3: We have used z - test and it is a two tailed test in this hypothesis

Step 4: p – value= 0.9778

Step 5: Here p - value = 0.9778& α/2 = 0.05/2 = 0.025

Since, p > α/2 i.e. 0.9778> 0.025 Step 6: Therefore we fail to reject the Null Hypothesis (Ho).

Step 7: Therefore we can say Family Influence is a prime factor to decide major. They are

very weakly positively correlated, r=0.0036.

Value


p-Value 0.9778

N 60

BUS 302

December 07, 2014

Page 14

FACTOR 5: PEER INFLUENCE

Frequency Analysis:


Figure 5: Factor 5 Frequency Graph

Interpretation: From the frequency table we are seeing that most of the students

“Agree” that Peer Influence is the prime factor to choose Major, but there are students who are also “Neutral” and “Highly agree” to this issue. So, we cannot conclude that peer

influence is the prime factor to decide major.

That is why we did the Hypothesis testing, which is given below:

Hypothesis Test:

Value


p-Value 0.209

N 60

Interpretation:

Step 1: Ho: Peer influence is the prime factor to decide Major

Ha: Peer influence is NOT the prime factor to decide Major


Peer Influence Frequency

Highly Agree 8 13%

Agree 28 47%

Neutral 16 27%

Disagree 6 10%


Total 60 100%

0

5

10

15

20

25

30

Highly

AgreeAgree Neutral Disagree Highly

Disagree

Fre

qu

en

cy

Peer Influence

BUS 302

December 07, 2014

Page 15

Step 3: We have used Z-test and two tailed test in this hypothesis

Step 4: P value= 0.209

Step 5: P value (0.209) >α/2 (0.025)

Step 6: As the value significance is 0.209, which is more than 0.025, so can consider not

rejecting null hypothesis (Ho).

Step 7: So this means that peer influence is a prime factor to decide Major. They are strongly

positively correlated, r=0.164.

FACTOR 6: FACULTY INFLUENCE

Frequency Analysis:



Interpretation: From the frequency table it is clear that most of the students are

‘Neutral’ to the issue ‘Faculty influence’ is the prime factor to decide major, but there are more students who ‘Agree’ and ‘Disagree’ to this issue. So, we cannot conclude that faculty

influence is the prime factor to decide major.

Hence, we do the Hypothesis testing, which is as follows:

Faculty influence Frequency %

Highly Agree 7 12%

Agree 17 28%

Neutral 21 35%

Disagree 14 23%


Total 60 100%

0

5

10

15

20

25

Highly

Agree


Disagree

Faculty Influence

BUS 302

December 07, 2014

Page 16

Hypothesis Test:

Value


p-Value 0.249

N 60

Interpretation:

Step 1: Ho: Faculty is the prime factor to decide Major

Ha: Faculty is NOT the prime factor to decide Major



Step 4: P value=0.249

Step 5: P value (0.249) >α/2 (0.025)

Step 6: As the value significance is 0.249, which is more than 0.025, so can consider not

rejecting null hypothesis (Ho).

Step 7: So faculty influence is a prime factor to decide Major. They are strongly positively

correlated, r=0.1510.

BUS 302

December 07, 2014

Page 17

FACTOR 7: OPPORTUNITY TO STUDY ABROAD

Frequency Analysis:

T ABLE 7: FACTOR 7 FREQUENCY

T ABLE

FIGURE 7: FACTOR 7 FREQUECNY GRAPH

Interpretation:

From the frequency

graph it is clear that 47% of the students are ‘Agree’ and 37%

“Highly Agree” that future opportunities to study abroad is a prime factor while deciding

major.

Hypothesis Test:

Value


p-Value 0.386

α 0.05

N 60

Interpretation:

Step 1: Ho: Opportunity to study abroad is the prime factor to decide Major

Ha: Opportunity to study abroad is NOT the prime factor to decide Major


Opportunity to study abroad Frequency %

Highly Agree 22 37%

Agree 28 47%

Neutral 3 5%

Disagree 6 10%


Total 60 100%

0

5

10

15

20

25

30

Highly Agree Agree Neutral Disagree Highly

Disagree

Opportunity to study abroad

BUS 302

December 07, 2014

Page 18


Step 4: P value= 0.386

Step 5: Here, p-value= 0.386 and α /2= 0.05/2= 0.025

0.386>0.025

P-value> α /2

Step 6: As P-value> α /2 value, We fail to reject the null hypothesis (Ho).

Step 7: We can see that opportunity to study abroad is an important prime factor while

deciding one’ choice of Major. They are strongly positively correlated, r= 0.1138

4. CROSS ANALYSIS:

CROSS FACTOR R-VALUE ANALYSIS

T ABLE 8: CROSS ANAYLSIS T ABLE

Factors 1 2 3 4 5 6 7

R value 0.350 0.065 0.1525 0.0036 0.1643 0.1510 0.1138

P value 0.0061 0.6188 0.2444 0.9778 0.2095 0.2492 0.3864

Interpretation:

From comparing the r and p values of all the factors, we can see that Factor 6: Peer Influence, has the highest correlation meaning that it is the prime factor which is most positively

correlated to our research question.

CROSS MAJOR ANALYSIS

FIGURE 8: FACTOR 1 CROSS FREQUENCY ANALYSIS GRAPH

Interpretation:

While majority of students do “agree” that “to gain knowledge” is an

important factor while deciding one’s choice of major, we see

Marketing Majors (13%) emphasize on it the most.

0

2

4

6

8

10

12

14

Highly

Agree


Disagree

Fre

qu

en

cy

To Gain Knowledge

ACT

FIN

HR

MKT

BUS 302

December 07, 2014

Page 19

Figure 9: FACTOR 2 CROSS FREQUENCY ANALYSIS

GRAPH

Interpretation:

While majority of students do “Agree” that “Job opportunity” is an important

factor while deciding one’s choice of major, we see


FIGURE 10: FACTOR3 CROSS

FREQUENCY ANALYSIS GRAPH.

Interpretation:

While majority of students do “Highly Agree” and “Agree”

that “Personal Preference” is an important factor while deciding one’s choice of major, we see

both Finance Majors and Marketing Majors (8%)

emphasize on it the most.

Figure 11: Factor 4 Cross FreQuency Analysis Graph.

Interpretation:

While majority of students are “Neutral” that

“Family Influence” is an important factor while deciding

one’s choice of major, we see both Finance Majors and Marketing Majors (9%)

emphasize on it the most.

0

5

10

15

Highly

Agree


Disagree

Fre

qu

en

cy

Job Opportunity

ACT

FIN

HR

MKT

0

1

2

3

4

5

6

7

8

9

Highly

Agree


Disagree

Fre

qu

en

cy

Personal Preference

ACT

FIN

HR

MKT

0

1

2

3

4

5

6

7

8

9

10

Highly

Agree


Disagree

Fre

qu

en

cy

Family Influence

ACT

FIN

HR

MKT

BUS 302

December 07, 2014

Page 20

FIGURE 12: FACTOR 5 CROSS FREQUENCY ANALYSIS G RAPH

Interpretation:

While majority of

students are “Neutral” that “Family Influence” is an important factor while deciding

one’s choice of major, we see both Finance Majors and


FIGURE 13: FACTOR 6 CROSS

FREQUENCY ANALYSIS G RAPH

Interpretation:

We see 9% of Finance students “Agree” that Faculty Influence is a prime factor, while another

9% of Marketing Majors are Neutral on it.

FIGURE 14: FACTOR 7 CROSS

FREQUENCY ANALYSIS T ABLE

Interpretation:

We see that 10% of Finance students “Highly Agree” that

Opportunity to study abroad is a prime factor, while another 8-9%

of Marketing, Finance and Human resource Majors “Agree” on it.

0

2

4

6

8

10

12

Highly

Agree


Disagree

Fre

qu

en

cy

Peer Influence

ACT

FIN

HR

MKT

0

2

4

6

8

10

Highly

Agree


Disagree

Fre

qu

en

cy

Faculty influence

ACT

FIN

HR

MKT

0

2

4

6

8

10

12

Highly

Agree


Disagree

Fre

qu

en

cy

Opportunity to study abroad

ACT

FIN

HR

MKT

BUS 302

December 07, 2014

Page 21

5. CONCLUSION & RECOMMENDATION

By studying the frequency analysis, p-values and r-values, we can now say that “Peer

Influence” which is Factor 5 is the prime factor on which most BRAC Business School students base their choice of Major. And Finance and Marketing Major Students are the ones to do so.

6. APPENDIX

6.1 WORKS CITED

http://onlinelibrary.wiley.com/doi/10.1111/j.1540-4609.2012.00370.x/full

http://iosrjournals.org/iosr-jbm/papers/Vol8-issue2/N082104108.pdf

6.2TABLE OF FIGURES:

FIGURE 1: FACTOR 1 FREQUENCY GRAPH ........................................................................................................................................8 FIGURE 2: FACTOR 2 FREQUENCY GRAPH ........................................................................................................................................9 FIGURE 3: FACTOR 3 FREQUENCY GRAPH ..................................................................................................................................... 11 FIGURE 4: FACTOR 4 FREQUENCY GRAPH ..................................................................................................................................... 12 FIGURE 5: FACTOR 5 FREQUENCY GRAPH ..................................................................................................................................... 14 FIGURE 6: FACTOR 6 FREQUENCY GRAPH ..................................................................................................................................... 15 FIGURE 7: FACTOR 7 FREQUECNY GRAPH ..................................................................................................................................... 17 FIGURE 8: FACTOR 1 CROSS FREQUENCY ANALYSIS GRAPH ............................................................................................................ 18 FIGURE 9: FACTOR 2 CROSS FREQUENCY ANALYSIS GRAPH.............................................................................................. 19 FIGURE 10: FACTOR3 CROSS FREQUENCY ANALYSIS GRAPH. ........................................................................................................ 19 FIGURE 11: FACTOR 4 CROSS FREQUENCY ANALYSIS GRAPH. ....................................................................................................... 19 FIGURE 12: FACTOR 5 CROSS FREQUENCY ANALYSIS GRAPH ............................................................................................ 20 FIGURE 13: FACTOR 6 CROSS FREQUENCY ANALYSIS GRAPH ........................................................................................... 20

http://onlinelibrary.wiley.com/doi/10.1111/j.1540-4609.2012.00370.x/full

http://iosrjournals.org/iosr-jbm/papers/Vol8-issue2/N082104108.pdf

BUS 302

December 07, 2014

Page 22

6.3 QUESTIONNAIRE

BUS 302

December 07, 2014

Page 23

6.4 VALUE CALCULATIONS

A. FACTOR 1:

Regression Statistics

Multiple R 0.350063027

R Square 0.122544123

Adjusted R Square 0.107415573

Standard Error 0.79140505

Observations 60

ANOVA

P-value

df SS MS F Significance F

Regression 1 5.073326673 5.073327 8.10019 0.006108917

Residual 58 36.32667333 0.626322 Total 59 41.4

B. FACTOR 2:



R Square 0.004294593

Adjusted R Square -

0.012872742


Observations 60

ANOVA

P-value


Regression 1 0.18008658 0.18008658 0.250160705 0.618854415

Residual 58 41.75324675 0.719883565 Total 59 41.93333333

C. FACTOR 3:



R Square 0.023284408



Observations 60

BUS 302

December 07, 2014

Page 24

ANOVA

P-value


Regression 1 1.528621379 1.528621379 1.382690795 0.244447469

Residual 58 64.12137862 1.105541011 Total 59 65.65

D. FACTOR 4:



R Square 1.34395E-05

Adjusted R Square -

0.017227708


Observations 60

ANOVA

P-value


Regression 1 0.000599401 0.000599 0.0007795 0.977822179

Residual 58 44.5994006 0.768955 Total 59 44.6

E. FACTOR 5:



R Square 0.027014399 Adjusted R Square 0.010238785


Observations 60

ANOVA

P-value


Regression 1 1.478588 1.478588 1.61033741 0.209513405

Residual 58 53.25475 0.918185 Total 59 54.73333

BUS 302

December 07, 2014

Page 25

F. FACTOR 6:



R Square 0.022825276



Observations 60

ANOVA df SS MS F Significance F

Regression 1 1.352397602 1.352397602 1.354789451 0.249208346

Residual 58 57.8976024 0.998234524 Total 59 59.25

G. FACTOR 6:



R Square 0.012961634

Adjusted R Square -

0.004056269


Observations 60

ANOVA

P-value


Regression 1 0.748318348 0.748318 0.761646974 0.386412387

Residual 58 56.98501499 0.9825 Total 59 57.73333333

bus302 -what is the prime factor influencing bbs

Documents

bbs students choice

bba students choice

choices of major

good major choice

students abilities

impact business students

prime factors

brac business school