Create the linear equation and explain its purpose using your analysis results. D3. Discuss a limitation of the research that could affect a recommended course of action.

 Create the linear equation and explain its purpose using your analysis results.
The linear equation is y=-0.0849x + 5.5895. This equation allows us to describe a
relationship between the two variables. Those two variables are the attrition rate and
program participation. This equation also allows us to understand that with a change in
participation within the program will sway the attrition rate. If more nurses join the
program the attrition rate will go down and the inverse is true as well.
 D3. Discuss a limitation of the research that could affect a recommended course of
action.
A limitation of this research that may affect a course of action is that this data is taken
over a 3-year period without updating if the shifts are still 12 hours, nurses are required to
overtime and other challenging assignments. Without knowing if these issues have remained
constant, you can’t base these results on just the program participation rate.
 D4. Recommend a course of action that aligns with your linear regression analysis
results.
Based on the linear regression analysis a course of action that should be
implemented would be that participation in the program is mandatory and that it
continue to be funded. As you go further into the date based on month you can see the
attrition rate is down to an average of 1.9% over the past 5 months compared to the first
5 months of 4.78.