Keith Chan1/20/2014AST 22102 Applied Statistics for Business II

SPSS Application

Multiple Linear RegressionNext*

Multiple Linear Regression: Introduction*NextRegression Analysis is theestimation of the linear relationship between a dependent variable and one or more independent variables or covariates.

Multiple Linear Regression:Introduction*Applying multiple regression to determine if the Year, GPAs, and Test scores can be used to predict how students will score on Exam. Next

Multiple Linear Regression:Introduction*Independent variablesmatyr: Matriculation yeartotcum: GPA (Total Cumulative)nmtot1: Test score (Most recent)Dependent variableusmle2: USML Exam performanceNext

Multiple Linear Regression:Starting the Procedure*In the menu, click Analyze

Multiple Linear Regression: Starting the Procedure*In the menu, click on AnalyzePoint to Regression

Multiple Linear Regression: Starting the Procedure*In the menu, click on AnalyzePoint to RegressionPoint to Linear

Multiple Linear Regression: Starting the Procedure*In the menu, click on Analyze and click.Point to RegressionPoint to Linear

Multiple Linear Regression: Selecting Variables*Choose the variables for analysis from the list in the variable box.Move MATRICULATON DATE - YEAR, which is already highlighted, to the box labeled Independent(s) by clicking the arrow.

Multiple Linear Regression: Selecting Variables*Scroll down the variable list,

Multiple Linear Regression: Selecting Variables*Scroll down the variable list, point to the variable labeled UNDERGRAD GPA TOTAL - CUMULATIVE

Multiple Linear Regression: Selecting Variables*and click. Scroll down the variable list, point to the variable labeled UNDERGRAD GPA TOTAL CUMULATIVE

Multiple Linear Regression: Selecting Variables*Move totcum to the Independent(s) box by clicking the arrow.

Multiple Linear Regression: Selecting Variables*A few variables down the list, point to nmtot1, which is labeled MCAT TOTAL 1992-PRESENT, MOST RECENT

Multiple Linear Regression: Selecting Variables*and click. A few variables down the list, point to nmtot1, which is labeled MCAT TOTAL 1992-PRESENT, MOST RECENT

Multiple Linear Regression: Selecting Variables*Move nmtot1 to the box labeled Independent(s) by clicking the arrow.

Multiple Linear Regression: Selecting Variables*Scroll further down the list and point to the variable usmle2, which is labeled USMLE STEP 2,

Multiple Linear Regression: Selecting Variables*and click. Scroll further down the list and point to the variable usmle2, which is labeled USMLE STEP 2 TOTAL,

Multiple Linear Regression: Selecting Variables*Move usmle2 to the box labeled Dependent by clicking the arrow.

Multiple Linear Regression: Requesting Statistics*Request descriptive statistics by clicking the button labeled Statistics

Multiple Linear Regression: Statistics*In SPSS, you can display information by right-clicking, but right-clicking doesnt work in this tutorial.To see what right- clicking would show, left-click the box for Part and partial correlations.

Multiple Linear Regression: Statistics*For this tutorial, click the checkbox for Part and partial correlations.

Multiple Linear Regression: Statistics*Statistics for the Model fit and Estimates for Regression Coefficients will be produced by default.

Click the checkbox for Descriptives.

Multiple Linear Regression: Statistics*This tutorial requests no additional statistics, so click the Continue button.

Multiple Linear Regression: Requesting Plots*You can also request several different plots. Click the Plots button.

Multiple Linear Regression: Standardized Residual Plots*In the box labeled Standardized Residual Plots, first click the checkbox for Histogram,

Multiple Linear Regression: Standardized Residual Plots*then click the box for Normal probability plot.In the box labeled Standardized Residual Plots, first click the checkbox for Histogram,

Multiple Linear Regression: Standardized Residual Plots*This tutorial requests none of the other plots available in the Linear Regression procedure. Click the Continue button.

Multiple Linear Regression: Method of Variable Entry*The independent variables can be entered into the analysis using five different methods. This tutorial includes the Enter and Stepwise methods.Choose one of the following:EnterStepwise

Multiple Linear Regression: Enter Method*The independent variables can be entered into the analysis using five different methods. This tutorial includes the Enter and Stepwise methods.Choose one of the following:EnterStepwise

Multiple Linear Regression: Enter Method*Enter is the default method of variable entry. Click the OK button to run the Multiple Linear Regression procedure.

Multiple Linear Regression Output:Descriptive Statistics*The labels and format of your output may be somewhat different.Next

Multiple Linear Regression Output:Correlations*Next

Multiple Linear Regression Enter Method Output:Variables Entered*Next

Multiple Linear Regression Enter Method Output:Model Summary*Next

Multiple Linear Regression Enter Method Output:ANOVA*Next

Multiple Linear Regression Enter Method Output:Coefficients and Correlations*Next

Multiple Linear Regression Enter Method Output:Residuals Statistics*Next

Multiple Linear Regression Enter Method Output:Residuals Histogram*Next

Multiple Linear Regression Enter Method Output: Plot of Standardized Residuals*Next

Multiple Linear Regression: Stepwise Method*The independent variables can be entered into the analysis using five different methods. This tutorial includes the Enter and Stepwise methods.Choose one of the following:EnterStepwise

Multiple Linear Regression: Stepwise Method*To select the stepwise method of variable entry, click the drop-down arrow for Method (next to Enter, which is the default method).

Multiple Linear Regression: Stepwise Method*Point to Stepwise

Multiple Linear Regression: Stepwise Method*Point to Stepwise and click.

Multiple Linear Regression: Stepwise Method*Click the OK button to run the Multiple Linear Regression procedure.

Multiple Linear Regression Output:Descriptive Statistics*The labels and format of your output may be somewhat different.Next

Multiple Linear Regression Output:Correlations*Next

Multiple Linear Regression Stepwise Method Output:Variables Entered*Next

Multiple Linear Regression Stepwise Method Output:Model Summary*Next

Multiple Linear Regression Stepwise Method Output:ANOVA*Next

Multiple Linear Regression Stepwise Method Output:Coefficients and Correlations*Next

Multiple Linear Regression Stepwise Method Output:Excluded Variables*Next

Multiple Linear Regression Stepwise Method Output:Residuals Statistics*Next

Multiple Linear Regression Stepwise Method Output:Residuals Histogram*Next

Multiple Linear Regression Stepwise Method Output: Plot of Standardized Residuals*Next

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