Simple Regression Data and Model Summary Number of cases used in the analysis 80 Number of incomplete (omitted) cases 0 Pearson Correlation Coefficient (r) -0. 16065 Coefficient of Determination (R-Squared) 0.02581 Equation of Least Squares Line Days.on.Market = 61.464 - 0.0028974 * Square.FootageConduct a linear regression between square footage (predictor variable) and days on market (response variable). a) Use Rguroo to conduct the linear regression between square footage (predictor variable) and days on market (response variable). Include the least squares regression line, scatter plot, and correlation coefficient. Upload a picture of your work in the box below as a screenshot or PDF. Edit Insert Formats BIU X X A E wr- E b) Discuss the appropriateness of the model and explain why or why not it is a good fit.Response Versus Numerical Predictor Least Squares Line: Days.on.Market = 61.464 - 0.0028974 * Square.Footage 150 O 100 O Days.on.Market 6 34 0 O 62 0 23 0 O 4000 6000 8000 2000 Square.Footage