question archive An analyst fit a linear regression model with sick days as the response and age, years of service, gender, and location as explanatory variables
An analyst fit a linear regression model with sick days as the response and age, years of service, gender, and location as explanatory variables
Subject:StatisticsPrice: Bought3
An analyst fit a linear regression model with sick days as the response and age, years of service, gender, and location as explanatory variables. The output from the model is shown below.
Estimate Std. Error t value Pr (> |t|)
(Intercept) 5.6670 0.3514 16.127 < 2e-16
age 0.0016 0.0106 0.154 0.878
yrs_service 0.0556 0.0177 3.139 0.002
genderMale -1.9872 0.1174 -16.927 < 2e-16
locationBoston 2.8523 0.1297 21.985 < 2e-16
locationPhoenix 0.1625 0.1969 0.825 0.410
Adjusted R-squared: 0.7394
Write a brief (2-3 page) memo to SuperAnalytics management explaining the findings of the analysis. In your memo, be sure to describe
• which variables are related to sick days and which ones are not;
• the direction and size of the relationship (if one exists);
• how your conclusions agree or disagree with your initial memo from Module 1;
• if your conclusions from Module 1 changed, why;
• your recommendations to SuperAnalytics management, based on their initial question from Module 1.
