The following data were collected on the study of the relationship between a company's retail sales and advertising dollars:

Retail Sales ($).......Advertising ($)

31,285............................15,899

35,486............................17,981

40,626............................20,387

44,312............................23,073

46,578............................25,591

51,020............................26,582

54,063............................31,440

57,156............................35,963

57,645............................35,950

59,505............................37,442

Obtain a linear regression line for the data. (Round your answer to 2 decimal places, the tolerance is +/-0.01.)

Retail Sales = ____________ + ______________ (advertising)

Compute a correlation coefficient and determine the strength of the linear relationship. (Round your answer to 2 decimal places, the tolerance is +/-0.01.)

Correlation coefficient is ______________ . It indicates a moderate, positive or no or a strong, postive linear relationship. (Use not rounded amounts to answer this question.)

Using the linear regression equation, develop a forecast of retail sales for advertising dollars of $41,356. (Round your answer to 2 decimal places, the tolerance is +/-0.01. Do not round intermediate results used to achieve this answer.) Forecast = $___________