Question 7 The summary summation values given below are a random sample of 25 weeks marketing spend and the sales values. A retailer wants to examine the relationship between the marketing spend and the sales values. Ex = 437, Ey = 462, Σ- 20611 , Σν,-20826 , Σν- 20096, n-25 Note: y refers to sales values and x represents marketing spend Calculate the correlation coefficient for the data and comment on the answer, Calculate the values of y-intercept and slope coefficients, in the straight line regression equation. Express the relationship in a linear regression equation. Use the linear regression equation to estimate the sales values if marketing spending R25 (000).

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Question 7
The summary summation values given below are a random sample of 25 weeks marketing
spend and the sales values. A retailer wants to examine the relationship between the marketing
spend and the sales values.
Σ- 437, Σν- 462 , Σ-20611 , Σν,-20826, Σν- 20096,
n= 25
Note: y refers to sales values and x represents marketing spend
Calculate the correlation coefficient for the data and comment on the answer.
Calculate the values of y-intercept and slope coefficients, in the straight line
regression equation.
Express the relationship in a linear regression equation.
Use the linear regression equation to estimate the sales values if marketing spending
R25 (000).
Transcribed Image Text:Question 7 The summary summation values given below are a random sample of 25 weeks marketing spend and the sales values. A retailer wants to examine the relationship between the marketing spend and the sales values. Σ- 437, Σν- 462 , Σ-20611 , Σν,-20826, Σν- 20096, n= 25 Note: y refers to sales values and x represents marketing spend Calculate the correlation coefficient for the data and comment on the answer. Calculate the values of y-intercept and slope coefficients, in the straight line regression equation. Express the relationship in a linear regression equation. Use the linear regression equation to estimate the sales values if marketing spending R25 (000).
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