A mental health agency measured the self-esteem score for randomly selected indi
ID: 3149474 • Letter: A
Question
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.)
Explanation / Answer
a)We do this whole project in Minitab
For Support Level we take Direct as =0 and None=1
Using path
Stat-Regression -Regression and then taking self-esteem as a function of length of work,
support level, education, and age we get the following multiple linear regression equation,
The regression equation is
Self Esteem = 3.19 + 0.0286 Length of Work (months) + 0.289 Support Level 1
+ 0.111 Education (years) - 0.0298 Age.
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