1.4 In a survey pre-test, data were obtained from 20 participants on preference for boots (V1) on a seven-point scale (1 = not preferred, 7 = greatly preferred). The participants also provided their evaluations of the boots on comfort (V2), style

(V3) and durability (V4), also on seven-point scales (1 = poor, 7 = excellent). The resulting data are given in the following table:

a Calculate the simple correlations between V1 and V4 and interpret the results.

b Run a bivariate regression with preference for boots (V1) as the dependent variable and evaluation on comfort (V2) as the independent variable. Interpret the results.
c Run a bivariate regression with preference for boots (V1) as the dependent variable and evaluation on style (V3) as the independent variable. Interpret the results.
d Run a bivariate regression with preference for boots (V1) as the dependent variable and evaluation on durability (V4) as the independent variable. Interpret the results.
e Run a multiple regression with preference for boots (V1) as the dependent variable and V2 to V4 as the independent variables. Interpret the results. Compare the coefficients for V2, V3 and V4 obtained in the bivariate and the multiple regressions.

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Number V V V3 V4 4 5475275 36 3456722224 3264267563251444 3 3 3 2 6356 3 5 6 3 45342553 4443 1 5 1 6274-65723-52463 43 42 1234567890123 14 15 16 17 18 19 20 67892