Plot your data in an appropriate plot and include the plot along with a short discussion in your report.

Fit an appropriate model that gives a sufficiently large R$-$square and low standard error value. You may want to initially use the $$Add Trendline$$ tool in excel in order to gauge best models. Provide the model in your report.

Important Note: You should not implement the same type of model, i$.$e$.,$ simple linear regression model, or other model, for all four questions because the same model may not be a good model for different data sets.

In reviewing the data in the Performance Lawn Equipment Database, Elizabeth Burke noticed that defects received from suppliers have decreased $($worksheet Defects After Delivery$).$ Upon investigation, she learned that in $2018,$ PLE experienced some quality problems due to an increasing number of defects in materials received from suppliers. The company instituted an initiative in August $2019$ to work with suppliers to reduce these defects, to more closely coordinate deliveries, and to improve materials quality through reengineering supplier production policies.

Ms$.$ Burke noted that the program appeared to reverse an increasing trend in defects; she would like you to predict what might have happened had the supplier initiative not been implemented $($only include Jan. $2018$ to Aug. $2019$ data for the regression analysis$).$

Ms$.$ Burke would also like your groups to use all of the Defects After Delivery data $($from Jan. $2018$ to Dec. $2022)$ and find an appropriate model that predicts Defects for each month in $2019.$ How do your models differ between questions $1)$ and $2)?$

PLEASE INCLUDE MODELS AND SOLVE FOR THE QUESTIONS!!! Need answers not just an explanation of steps to solve the problem.