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Exam 16: Predicting Wholl Win the Super Bowl: Using Linear Regression

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Question 1

Multiple Choice

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To predict one variable from another, you must first ______.

A) compute the mean
B) compute the standard deviation
C) compute the correlation
D) compute the variance

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Question 2

Multiple Choice

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How would you represent the predicted score of Y based on a known value of X?

A) y
B) y-intercept
C) $Y ^ { \prime }$
D) Y = Xa

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Question 3

Multiple Choice

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In the multiple-regression formula, what does X₂ represent?

Using the regression formula with a slope = 2,000 and an intercept = 15,000, what would the predicted income be for someone who has 35 years of education?

A criterion variable is also known as a(n) ______.

What must be done to categorical variables in order to use them in a regression analysis?

If you are trying to predict Y scores from X scores, Y is referred to as the ______.

In linear regression, a regression equation is determined, which can be used to plot a regression line.

Which of the following symbols is associated with the slope in the regression equation?

Which of the following is also known as a regression weight?

Using the regression formula with a slope = .504 and an intercept = .719, what would the predicted college GPA be for a student whose current high school GPA = 3.2?

If you are trying to predict Y scores from X scores, X is referred to as the ______.

Using the regression formula with a slope = 2,000 and an intercept = 15,000, what would the predicted income be for someone who has 25 years of education?

A regression equation can be visually represented on a(n) _______.

Linear regression uses correlations between variables as the basis for the prediction of the value of one variable based on the value of another.

Which of the following determines the direction of the regression line?

What can be used as the basis for prediction?

Using the regression formula with a slope = 2,000 and an intercept = 15,000, what would the predicted income be for someone who has 16 years of education?

What is the distance between each data point and the regression line called?

Which of the following symbols is associated with the independent variable in the regression equation?