Making Predictions from a Least-Squares Regression Line Answers

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A sports-equipment researcher was interested in the relationship between the speed of a golf club (in feet per second) and the distance a golf ball travels (in yards). Information was collected on several golfers and was used to obtain the regression equation ŷ = 2x - 106, where x represents the club speed and ŷ is the predicted distance. Which statement best describes the meaning of the slope of the regression line?

A
For each increase in distance by 1 yard, the predicted club speed increases by 2 ft/sec.
B
For each increase in distance by 1 yard, the predicted club speed decreases by 106 ft/sec.
C
For each increase in club speed by 1 ft/sec, the predicted distance increases by 2 yards.
D
For each increase in club speed by 1 ft/sec, the predicted distance decreases by 106 yards.
4

A statistics teacher was interested in the relationship between the number of days students waited to start a project and the score that project received (out of 100 points). Information was collected on several students and was used to obtain the regression equation ŷ = –3.64x + 96.5, where x represents the number of procrastination days and ŷ is the predicted grade. Which statement best describes the meaning of the y-intercept of the regression line?

A
When the grade is 0, the predicted number of procrastination days is 0.
B
When the grade is 0, the predicted number of procrastination days is 96.5.
C
When the number of procrastination days is 0, the predicted grade is 3.64 points.
D
When the number of procrastination days is 0, the predicted grade is 96.5 points.
6

A movie production company was interested in the relationship between the budget to make a movie and how well that movie was received by the public. The company collected information on several movies and used it to obtain the regression equation ŷ = 0.145x+0.136, where x represents the budget of the movie (in millions of dollars) and ŷ is the predicted score of that movie (in points from 0 to 1). Which statement best describes the meaning of the y-intercept of the regression line?

A
When the score of a movie is 0 points, the predicted budget is $0.
B
When the score of a movie is 0 points, the predicted budget is $0.136 million.
C
When the budget of a movie is $0, the predicted rating is 0.136 points. This interpretation is not meaningful, because a movie cannot have a budget of $0.
D
When the budget of a movie is $0, the predicted rating is 0.145 points. This interpretation is not meaningful, because a movie cannot have a budget of $0.
9

A popular board game manufacturer was interested in the relationship between the amount of time it takes to play a game and how well that game is rated among board game players. Information was collected on several board games and was used to obtain the regression equation ŷ = 27.273x + 18.182, where x represents the time it takes to play (in hours) and ŷ is the predicted rating of that game (in points). Which statement best describes the meaning of the slope of the regression line?

A
For each increase in rating by 1 point, the predicted hours of play increase by 18.182.
B
For each increase in rating by 1 point, the predicted hours of play increase by 27.273.
C
For each increase in hours of play by 1, the predicted rating of the game increases by 18.182 points.
D
For each increase in hours of play by 1, the predicted rating of the game increases by 27.273 points.

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