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h) Which predictor contributes more to R^2 and why?
i) Calculate the F value using R^2.
j) Calculate the adjusted R^2 and compare its value to R^2.
k) Calculate the 95% confidence interval for the two slopes and interpret them. Are
the results consistent with the t value?
l) Do you see a problem with multicollinearity (overlap of predictors)? Yes or no
m) How does the problem of multicollinearity effect the magnitude of R^2?
Safety1 = feeling safe in high school
Feelhs1 = attitude toward high school
Percvtc1 = attitude toward teachers Safety1 Feelhs1 Percvtc1 Sfety1 1 0....
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