Correlations Number of Years as a Attractiveness Age (Years) Model (%) Age (Years) Pearson Correlation 1 .955" 261" Sig. (2-tailed) 000 .000 N 231 231 231 Number of Years as a Model Pearson Correlation 955* 1 173" Sig. (2-tailed) 000 008 N 231 231 231 Attractiveness (%) Pearson Correlation .261" 173" 1 Sig. (2-tailed) 000 008 N 231 231 231 **. Correlation is significant at the 0.01 level (2-tailed). b. What are the correlations between each pair of correlations? c. Can you determine if all of the variables should be included in the regression analysis? (Hint: Examine for multicollinearity.) d. Which variables would you include in the regression analysis