Use multiple linear regression for predicting self‐ esteem as a function of length of work, support level, education, and age.

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A mental health agency measured the self‐esteem score for randomly selected individuals with disabilities who were involved in some work activity within the past year. The Excel file Self‐Esteem provides the data, including the individuals’ marital status, length of work, type of support received (direct support includes job‐related services such as job coaching and counseling), education, and age. a. Use multiple linear regression for predicting self‐ esteem as a function of length of work, support level, education, and age. b. Investigate possible interaction effects between support level and the other numerical variables by building an appropriate model. Determine the best model. c. Find the best regression model for predicting self‐ esteem as a function of length of work, marital status, education, and age. (Note that the categorical variable marital status has more than two levels.)

 

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