A regression analysis between sales (in 1000) and advertising (in ...

[B]

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.

Question 2

A regression analysis between weight (y in pounds) and height (x in inches) resulted in the following least squares line: y = 120 + 5x. This implies that if the height is increased by 1 inch, the weight is expected to:
 a. increase by 1 pound.
  b. decrease by 1 pound.
  c. increase by 5 pounds.
  d. decrease by 24 pounds.

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Answer to Question 1

B

Answer to Question 2

C

[B]

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