Develop Your Regression Model A. Scatterplot: Provide a graph of the scatterplot of the data with a line of best fit. a. Explain if a regression model is appropriate to develop based on your scatterplot. B. Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model. a. Identify any possible outliers or influential points and discuss their effect on the correlation. b. Discuss keeping or removing outlier data points and what impact your decision would have on your model. C. Find r: Find the correlation coefficient (r). a. Explain how the r value you calculated supports what you noticed in your scatterplot. Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model. A. Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables. B. Interpret regression equation: Interpret the slope and intercept in context. C. Strength of the equation: Provide and interpret R-squared. a. Determine the strength of the linear regression equation you developed. D. Use regression equation to make predictions: Use your regression equation to predict how much you should list your home for based on the square footage of your home. If you need professional help in this assignment, Kindly contact g I o b a I b e st w r i t mrM) loo-mandrel: Mligtqunlity plagiarism free complete assignment with a good grade at affordabie price. Note; you pay less the amount you used for the course hero unlock