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Figure 4.2: Microsoft Excel output for simple linear regression SUMMARY OUTPUT Regression Statistics Multiple R 0.848766779 R Square 0.720405045 Adjusted R Square 0.717298435 Standard Error 0.008539025 Observations 92 ANOVA df SS MS F Significance F Regression 1 0.016908556 0.016908556 231.8942205 1.221326-26 Residual 90 0.006562346 Total 91 0.023470902 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 1.162999075 0.006559641 177.2961535 2.6688E-116 1.149967204 1.176030947 log(skinfold thickness) -0.063118994 0.00414491 -15.22807343 1.221326-26 -0.071353582 -0.054884407 Figure 4.3: Histogram of residuals Figure 4.4: Plot of residuals versus log(skin fold thickness)

          Figure 4.2: Microsoft Excel output for simple linear regression
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.848766779
R Square 0.720405045
Adjusted R Square 0.717298435
Standard Error 0.008539025
Observations 92
ANOVA
df
SS
MS
F
Significance F
Regression 1 0.016908556 0.016908556 231.8942205 1.221326-26
Residual 90 0.006562346
Total 91 0.023470902
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept 1.162999075 0.006559641 177.2961535 2.6688E-116 1.149967204 1.176030947
log(skinfold thickness) -0.063118994 0.00414491 -15.22807343 1.221326-26 -0.071353582 -0.054884407
Figure 4.3: Histogram of residuals
Figure 4.4: Plot of residuals versus log(skin fold thickness)

figure 42 microsoft excel output for simple linear regression summary output regression statistics multiple r 0848766779 r square 0720405045 adjusted r square 0717298435 standard error 00085 24047

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