Question

--FACTOR ANOVA: SEE 408 RSON CORRELATION: SEE P. 465 GRESSION: SEE P. 467 -SQUARE GOODNESS OF FIT: SEE P.501 1-SQUARE TEST FOR INDEPENDENCE: SEE P.502 4 pts Question 33 This regression problem (chp 14) can be solved with SPSS (steps p.500) and/or by hand. In the height and income study for men, height was classified into 5 categories from 1-tallest to 5-shortest and had a mean of Mx-3 with a SSx=20. Income, measured in thousands, had a mean score of My-66 and a SSy=7430. The SP-359. What is the regression equation for predicting income (Y) from height and percent variance in income accounted for by the regression equation? Predicted Y--17.95X+119.85,--931, 62-867 - Predicted Y- 119.85X - 17.95,--931,12-.867 Predicted Y-048X+6.17. r--931,c2-867 Cannot be determined Next - Previous

Answer 1

The correct answer is Option A. The regression slope ŷ is equivalent to -17.95X + 119.85 with r equal to -.931.