Problem 8 (20 marks) The general manager of a chain of department stores believes that experience...
Problem 8 (20 marks) The general manager of a chain of department stores believes that experience is the most important factor in determining the level of success of a salesperson. To examine this belief, she records last month's sales (in $1,000s) and the years of experience of 10 randomly selected salespeople. These data are listed below. Salesperson 1 2 3 4 5 6 7 8 9 10 Years of Experience 3 2 10 3 8 5 12 7 20 15...
1 Problem 8 (20 marks) The general manager of a chain of department stores believes that experience is the most important factor in determining the level of success of a salesperson. To examine this belief, she records last month's sales in $1,000s) and the years of experience of 10 randomly selected salespeople. These data are listed below. Salesperson Years of Experience Sales 3 7 2 2 9 3 10 4 3 15 5 8 18 6 5 14 7 12...
1 Problem 8 (20 marks) A sales manager for an advertising agency believes there is a relationship between the number of contacts and the amount of the sales. To verify this belief, the following data was collected: Salesperson Number of Contacts Sales (in thousands) 14 24 2 12 14 3 20 28 4 16 30 5 46 80 6 23 30 7 48 90 8 50 85 55 120 10 50 110 9 Assume normality of variables. a) Calculate the...
1 Problem 7 (20 marks) A sales manager for an advertising agency believes there is a relationship between the number of contacts and the amount of the sales. To verify this believe, the following data was collected: Salesperson Number of Contacts Sales (in thousands) 14 24 2 12 14 3 20 28 4 16 30 16 80 23 7 48 90 50 85 55 120 10 SO 110 6 8 9 Assume normality of variables. a) Calculate the coefficient of...
The general manager of a chain of furniture stores believes that experience is the most important factor in determining the level of success of a salesperson. To examine this belief she records last month’s sales (in $1,000s) and the years of experience of 10 randomly selected salespeople. These data are listed below. Salesperson Years of Experience Sales ($1,000s) 1 0 7 2 2 9 3 10 20 4 3 15 5 8 18 6 5 14 7 12 20 8...
im having a hard time with this question would someone please be avle to explain to me this answer in detail 1 Problem 8 (20 marks) A sales manager for an advertising agency believes there is a relationship between the number of contacts and the amount of the sales. To verify this belief, the following data was collected: Salesperson Number of Contacts Sales (in thousands) 14 24 2. 12 14 3 20 28 4 16 30 5 46 80 6...
Problem 5 (7 marks) A survey of 25 retail stores revealed that the average price of a DVD was $375 with a standard deviation of $20. a) What is the 95% confidence interval to estimate the true cost of the DVD? (4 marks) b) What sample size would be needed to estimate the true average price of a DVD with an error of +55 and a 99% confidence? (3 marks) Problem 6 (10 marks) Based on the BBM TV ratings,...
A sales manager collected the following data on x = years of experience and y = annual sales ($1,000s). The estimated regression equation for these data is ŷ = 80 + 4x. Salesperson Years of Experience Annual Sales ($1,000s) 1 1 80 2 3 97 3 4 97 4 4 102 5 6 103 6 8 101 7 10 119 8 10 118 9 11 127 10 13 136 (a) Compute SST, SSR, and SSE. SST= SSR= SSE= (b) Compute...
A sales manager collected the following data on x = years of experience and y = annual sales ($1,000s). The estimated regression equation for these data is ý = 81 + 4x. Salesperson Years of Experience Annual Sales ($1,000s) 1 107 103 101 119 8 9 10 10 11 13 123 127 136 (a) Compute SST, SSR, and SSE. SST = SSR = SSE = (b) Compute the coefficient of determination 2. (Round your answer to three decimal places.) 12...
A sales manager collected the following data on x = years of experience and y = annual sales ($1,000s). The estimated regression equation for these data is ý = 80 + 4x. Salesperson Years of Experience Annual Sales ($1,000s) 1 1 80 2 3 97 3 4 92 4 4 102 5 6 103 6 8 111 7 10 119 8 10 123 9 11 117 10 13 136 (a) Compute the residuals. Years of Experience Annual Sales ($1,000s) Residuals...