solution steps A regression analysis between weight (y in pounds) and height (x

Question

solution steps A regression analysis between weight (y in pounds) and height (x in inches) resulted in the following least squares line: i = 120 + 5x. This implies that If the height is increased by 1 inch, the weight, on average, is expected to: a. increase by 1 pound. b. decrease by 1 pound. c. increase by 5 pounds. d. increase by 24 pounds. A regression analysis between sales (in $1000) and advertising (in $100) resulted in the following least squares line: y = 75 + 6x. This implies that if advertising is $800, then the predicted amount of sales (in dollars) is: a. $4875 b. $123,000 c. $487, 500 d. $12, 300 A regression analysis between sales (in $1,000) and advertising (in $1,000) resulted in the following least square regression line y = 80 + 5x. This implies that: a. as advertising increases by $1,000, sales increases by $5,000. b. as advertising increases by $1,000, sales increases by $80,000. c. as advertising increases by $5, sales increases by $80. d. None of these choices.

Explanation / Answer

1. dy=5dx hence difference is multiplied by 5.
2. Y=(75+6*8)1000
3. Similar to question 1 dy=5dx

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