For this assignment, complete the following tasks:

Communicate the purpose of the analysis you are doing.

a$.$ Guidance: Start your memo by stating the managerial question you are trying to answer in this scenario. As you state the question, state the potential insight your expect to gain from answering the question.

State the relationship you are exploring.

a$.$ Guidance: In Module $2$ we are learning how to use SLR for decision making. Start by defining the dependent variable and independent variable you are exploring. Then, clearly state what relationship you expect to find. For example, will they be positively related or negatively related?

Run a simple linear regression to test the relationship you are exploring.

a$.$ Guidance: Use the Memo $1$ Data Set in Module $2.$ Run a SLR using the two variables you identify in task $2.$ In your memo, type out the estimated regression equation, using the coefficients from your regression results $($it should look like Estimated SLR Equation $2\mathrm{.}3$ in the Class Notes, but it should have your variables and your results$).$ Provide an XY scatter plot of the data you analyzed $($an example from the fertilizer$\_$height regression example is on the next page$).$ Also, provide the $3$ tables from the SUMMARY OUTPUT that excel provides $($an example from the fertilizer $\_$ height regression example is on the next page$).$

Interpret the regression results.

a$.$ Guidance: You should have $2$ parameter estimates in this scenario $($one for the intercept and one for the slope of the relationship between the dependent and independent variables$).$ Interpret both of these parameter estimates.

Explain the findings.

a$.$ Guidance: State what the results tell you regarding your initial managerial question $($task $1).$ Give at least $1$ recommendation for the manager in this scenario, and clearly communicate your recommendation as being connected to the data and analysis you completed.

State if there is any reason to suspect the results of the SLR may be biased.

a$.$ Guidance: The SLR Class Notes in Module $2$ describe four assumptions of SLR which, if violated, could bias the analysis results. Clearly comment on each of the $4$ assumptions, indicating if there is or is not a reason to suspect any bias I the SLR estimates. Whether you say "yes" or $"$no$",$ provide a reason why you come to this conclusion.