Answer the following questions using the accompanying SPSS output, which is based on data on the growth rates (Y) of depleted chicks at different (log) dosage levels (X) of vitamin B for males and females.

a. Define a single multiple regression model that incorporates different straight-line models for males and females.
b. Plot the fitted straight lines for each sex on graph paper.
c. Test for parallelism.
d. Test for coincidence.

VARIABLE(S) ENTERED ON STEP NUMBER 1-X MULTIPLE R R SQUARE ADJUSTED R SQUARE STANDARD ERROR 0.88583 0,78470 0.77752 3.08611 ANALYSIS OF VARIANCE REGRESSION SUM OF SQUARES 1041 33728 285 72230 MEAN SQUARE 1041 33728 9.52408 109.33735 RESIDUAL -VARIABLES IN BETA 0.88583 THE EQUATION .._--VARIABLES NOT IN THE EQUATION 13.85501 14. 72828 STD ERRORB 1.32502 BETA N PARTIAL TOLERANCE 0.99791 0.83267 109.337 0.01293 0.04475 0.02784 0.08801 0.022 0 226 CONSTANT) xz VARIABLE(S) ENTERED ON STEP NUMBER 2.2 te 1 MULTIPLE R R SQUARE ADJUSTED R SQUARE STANDARD ERROR MALE: o FEMALE) 0.88592 0,78466 0.77002 3.13765 ANALYSIS OF VARIANCE REGRESSION SUM OF SQUARES 1041 55874 285.50084 MEAN SQUARE 2: 29. 520.77937 9.84488 52.89862 RESIDUAL VARIABLES IN THE EQUATION VARIABLES NOT IN THE EQUATION .._..-- VARIABLE 3.84577 0.16655 BETA 0 88524 0.01293 STD ERROR B 1.34856 F 109.413 0.022 VARIABLE xz BETA IN 0 19139 PARTIALTOLERANCE 0.13847 015355 0,676 CONSTANT) VARIABLE(S) ENTERED ON STEP NUMBER 3.. XZ 14.6535 MULTIPLE R R SQUARE ADJUSTED R SQUARE STANDARD ERROR 0.88878 0.78993 076743 3.15532 ANALYSIS OF VARIANCE REGRESSION DF SUM OF SQUARES MEAN SQUARE 1048.28988 278.76070 349 42996 9.95805 35.09721 RESIDUAL VARIABLES IN THE EQUATIONVARIABLES NOT IN THE EQUATION VARIABLE BETA 0.81424 -0.14670 0.19139 STD ERROR B 91389 2.73852 271233 VARIABLE BETA IN 12.73533 1.88944 2.23020 15.65624 44.278 x2 0.676