Create a Residual plot and a normal quantile plot. Then interpret these plots. Before Creating these plots save a column of residuals and a column of predicted values after fitting your linear model. Create a Residual Plot Create a scatter plot with the residuals on the y-axis and the predicted values on the x-axis. (Go to fit Y by X. Put Residuals into the Y Response Box put the predicted values into the x factor box and click OK. Create a Normal Quantile Plot. Go to Distribution. Put residuals into Y, Columns box. Click OK. Go to the red arrow next to Residuals and select Normal Quantile Plot. NOTE: If you use Fit Y by X you can get your Residual Plot and Normal Quantile Plot of Residuals by clicking on the red arrow next to Linear Fit and selecting Plot Residuals. After creating these plots, use the residual plot and normal quantile plot to determine which assumptions are violated or not violated. Justify your selection with a reason. Form of the model: This assumption is evaluated using the Normal Quantile Plot of Residuals . This assumption is Not Violated because the spread of residuals appears similar for all predicted values. . Constant Variance: This assumption is evaluated using the Residual Plot . This assumption is Violated because there is an increase in the spread for larger predicted values. . Normality of Errors: This assumption is evaluated using the Normal Quantile Plot of the Residuals . This assumption is Violate