Exercise 4 A consumat group has tested nine makes of personal stereo. The prices and the scores (out of 100) awarded to them by a panel of exports the group commissioned to test them are Price (0) 70 18+ 27 711 34 50+h Score 74 2x 37 58 38 50 Choose hand so that they are different one from the other and they all belong to the interval 15:901 (a) According to you, which variable should be the dependent ond? Explain your answer. (6) Plot a scatter diagram to portray the date taking score as the dependent variable Interpretit (e) For the remaining questions, just consider the first couples of points. Find the equation of the line of best fit using ordinary simple linear regression. All the details as well as the appropriate table should be provided. (d) Interpret the coefficients obtained in the Question (e). (e) Present the analysis of variance with the following labels Tss for Total Sum of Squares ESS for Explained Sum of Squares, and RSS for Residuals Sum of Squares. Details are needed. You are recommended to append the table produced in Question 3). What can you tell us about the quality of the regression? Exercise 4 A consumat group has tested nine makes of personal stereo. The prices and the scores (out of 100) awarded to them by a panel of exports the group commissioned to test them are Price (0) 70 18+ 27 711 34 50+h Score 74 2x 37 58 38 50 Choose hand so that they are different one from the other and they all belong to the interval 15:901 (a) According to you, which variable should be the dependent ond? Explain your answer. (6) Plot a scatter diagram to portray the date taking score as the dependent variable Interpretit (e) For the remaining questions, just consider the first couples of points. Find the equation of the line of best fit using ordinary simple linear regression. All the details as well as the appropriate table should be provided. (d) Interpret the coefficients obtained in the Question (e). (e) Present the analysis of variance with the following labels Tss for Total Sum of Squares ESS for Explained Sum of Squares, and RSS for Residuals Sum of Squares. Details are needed. You are recommended to append the table produced in Question 3). What can you tell us about the quality of the regression