Model 1 4.Below is output from a simple regression of number of years of school completed and income. (Constant Highest

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Model 1 4 Below Is Output From A Simple Regression Of Number Of Years Of School Completed And Income Constant Highest 1 (44.66 KiB) Viewed 49 times

Model 1 4.Below is output from a simple regression of number of years of school completed and income. (Constant Highest year of school completed Coefficients Unstandardized Coefficients 8 Std. Error 6.225 277 339 024 Standardized Coefficients Beta 1 18.344 257 11.440 Sig 000 000 a. Dependent Variable: Respondent's income Comparing the slope estimates from this output to the output from the multiple regression (next page), is there evidence of multicollinearity? Why or why not? (6 points) Yes, because the slope from this output is 0.277 and From the mulhple regression is -.094. at least 2 indepelent variable that are related to the dependent variable slope is negative in multiple are also related to each other. but positive nave 6 What other output on the next page indicates a strong chance of multicollinearity and why [3 points). Vint, because they are related to each other. Father & Spouse because the slope is related and close to each other. high VIF VIF'S OF 5.10 & 5.9 73