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18 0.468 0.590
19 0.456 0.575
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25 0.396 0.505
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y = -0.0049x + 5.4914R!= 0.97545
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Torque,N
-m
RPM
RPM (X)
CI+_act
CI-_act
PI+_act
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Regression Analysis: Torque, N-m (Y) versus RPM (X)
The regression equation is
Torque, N-m (Y) = 5.43 - 0.00434 RPM (X)
Predictor Coef SE Coef T P
Constant 5.4326 0.4816 11.28 0.000
RPM (X) -0.0043420 0.0009540 -4.55 0.004
S = 0.617555 R-Sq = 77.5% R-Sq(adj) = 73.8%
Analysis of Variance
Source DF SS MS F P
Regression 1 7.8994 7.8994 20.71 0.004
Residual Error 6 2.2882 0.3814
Total 7 10.1877
Unusual Observations
Torque,
Obs RPM (X) N-m (Y) Fit SE Fit Residual St Resid
6 601 4.120 2.823 0.262 1.297 2.32R
R denotes an observation with a large standardized residual.
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Regression Analysis: Torque, N-m (Y) versus RPM (X) without Outlier
The regression equation is
Torque, N-m (Y) = 5.49 - 0.00491 RPM (X)
Predictor Coef SE Coef T P
Constant 5.4914 0.1706 32.19 0.000
RPM (X) -0.0049115 0.0003485 -14.09 0.000
S = 0.218446 R-Sq = 97.5% R-Sq(adj) = 97.1%
Analysis of Variance
Source DF SS MS F P
Regression 1 9.4791 9.4791 198.65 0.000
Residual Error 5 0.2386 0.0477
Total 6 9.7177
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