CHAPTER 6 Simple Linear Regression 255 TABLE P-3 y (5) X (S) Y (5) X ($) 1.250 1.250 1.425 1,425 1.450 41 54 63 54 48 1.
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CHAPTER 6 Simple Linear Regression 255 TABLE P-3 y (5) X (S) Y (5) X ($) 1.250 1.250 1.425 1,425 1.450 41 54 63 54 48 1.300 1.410 1510 1.575 1.650 45 62 61 64 71 | sales? Consider the data in Table P3 where x = weekly advertising, expenditures and Y = weekly sales. a Does a significant relationship exist between advertising expenditures and b. State the prediction equation. e Forecast sales for an advertising expenditure of $50. 3. what percentage of the variation in sales can be explained with the prediction equation? e State the amount of unexplained variation. 1. State the amount of total variation. 4. The times required to check out customers in a supermarket and the correspond- ing values of purchases are shown in Table P 4. Answer parts a, b, c, and tot Problem 3 using these data. Give a point forecast and a 99% interval forecast for Y if x = 3.0
CHAPTER 6 Simple Linear Regression 255 TABLE P-3 y (5) X (S) Y (5) X ($) 1.250 1.250 1.425 1,425 1.450 41 54 63 54 48 1.300 1.410 1510 1.575 1.650 45 62 61 64 71 | sales? Consider the data in Table P3 where x = weekly advertising, expenditures and Y = weekly sales. a Does a significant relationship exist between advertising expenditures and b. State the prediction equation. e Forecast sales for an advertising expenditure of $50. 3. what percentage of the variation in sales can be explained with the prediction equation? e State the amount of unexplained variation. 1. State the amount of total variation. 4. The times required to check out customers in a supermarket and the correspond- ing values of purchases are shown in Table P 4. Answer parts a, b, c, and tot Problem 3 using these data. Give a point forecast and a 99% interval forecast for Y if x = 3.0