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

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Standard error of estimate is computed as the variance of all values for error in prediction.

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Error in prediction (error of estimate) is calculated as the distance between each individual data point and the regression line.

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What important guideline should you keep in mind when choosing independent variables for multiple regression?

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

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Based on the formula for a regression line, what does a represent?

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The higher the absolute value of the correlation coefficient, the less accurate the prediction is of one variable based on the other variable.

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The regression line reflects the best estimate of predicted scores for the independent variable based on levels of the dependent variable.

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Which of the following is the point at which the regression line crosses the y-axis?

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In regression, the criterion variable is also known as the _______.

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What is another name for a regression line?

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Which of the following symbols is associated with the y-intercept in the regression equation?

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When using two predictor variables, these variables should be _______.

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How is the regression line related to the correlation coefficient?

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What statistical technique is used to make predictions of future outcomes based on present data?

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When determining the number of predictor variables to use to predict a criterion variable, you need to keep all of the following guidelines in mind, except ______.

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Which of the following is used to illustrate the "best guess" as to the predicted Y variable score based on X?

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When computing a predicted value, your second step is to ______.

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Which of the following is the correct formula for linear regression?

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Why do we use and not Y in the regression equation?

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

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