A realtor collected the following data for a random sample of ten homes that recently sold in her area. 1) (2 points) Using a scatterplot, describe the relationship between asking price and days on market. BUAL2650 Business Analytics II 2) (1 points) Fit a regression model to examine the relationship between the number of days on the market is positively linearly related to the asking price. [Insert the EXCEL output HERE] 3) (2 points) Write an estimated linear regression equation. 4) (1 points) What is a correlation coefficient? 5) (2 points) Test whether the number of days on the market is linearly related to the asking price. Use =0.05. 6) (4 points) Examine the assumptions of the regression model. List the assumptions and test whether the assumption is satisfied or not satisfied. Explain why. 7) (3 points) interpret the slope. A realtor collected the following data for a random sample of ten homes that recently sold in her area. 1) (2 points) Using a scatterplot, describe the relationship between asking price and days on market. BUAL2650 Business Analytics II 2) (1 points) Fit a regression model to examine the relationship between the number of days on the market is positively linearly related to the asking price. [Insert the EXCEL output HERE] 3) (2 points) Write an estimated linear regression equation. 4) (1 points) What is a correlation coefficient? 5) (2 points) Test whether the number of days on the market is linearly related to the asking price. Use =0.05. 6) (4 points) Examine the assumptions of the regression model. List the assumptions and test whether the assumption is satisfied or not satisfied. Explain why. 7) (3 points) interpret the slope