Question

60.       If we have a regression line predicting the amount of improvement in your performance as a function of the amount of tutoring you receive, an intercept of 12 would mean that

a) you need to have 12 hours of tutoring to get an A.

b) if you don’t have any tutoring, the best you can do is a grade of 12.

c) even without tutoring you will improve.

d) tutoring helps.

A significant slope means that

a) the slope is positive.

b) there is a significant relationship between X and Y in the population.

c) the slope is not equal to 0 in the population.

d) both b and c

65.       In a scatterplot, an outlier is one that

a) is far to the left of the display.

b) is in the center of the display.

c) is far from the regression line.

d) is the largest value of Y.

66.       A regression analysis of hours spent exercising and ounces of weight loss had a slope of 3. We would predict that

a) for every 1 hour of exercise, a person would lose 3 ounces of weight.

b) for every ounce lost, a person has to exercise for 7 hours.

c) every hour of exercise would have no effect on weight.

When one refers to the degree that variable A changes as variable B changes they are referring to

a) variance.

b) regression.

c) covariance.

d) habituation.

68.       A regression line is

a) a line of covariance.

b) a correlation matrix.

c) the best fit straight line.

d) the equal to a correlation line.

d) The slope cannot be used to make predictions, you need the intercept.

70.       The regression equation can be used to estimate the value of the response variable based on knowing the value of the predictor variable.

a) True

b) False

Answer 1

>> If we have a regression line predicting the amount of improvement in your performance as a function of the amount of tutoring you receive, an intercept of 12 would mean that

(b) if you don’t have any tutoring, the best you can do is a grade of 12.

>> A significant slope means that

d) both b and c.

>> In a scatterplot, an outlier is one that

c) is far from the regression line.

>> A regression analysis of hours spent exercising and ounces of weight loss had a slope of 3. We would predict that

a) for every 1 hour of exercise, a person would lose 3 ounces of weight.

>> When one refers to the degree that variable A changes as variable B changes they are referring to

c) covariance.

>> A regression line is

c) the best fit straight line.

>> The regression equation can be used to estimate the value of the response variable based on knowing the value of the predictor variable.

a) True.