101B_midterm_review_question

H which predictor contributes more to r2 and why i

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Unformatted text preview: em. 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 and explain. 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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This note was uploaded on 03/06/2013 for the course STATS 101B taught by Professor Esfandiari during the Winter '13 term at Citrus College.

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