conceptual regression analysis

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14 Terms

1
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If the correlation between X and Y is zero, what is the best predictor of the value of Y?

The mean of Y.

2
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In a linear regression analysis, what happens to the residuals as Pearson's r increases?

The values of the residuals decrease.

3
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Can a nominal predictor be used in linear regression analysis alongside an interval-ratio level predictor?

Yes, a nominal predictor can be used.

4
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In linear regression, if the slope is +.50, what does it indicate?

For every unit increase in X, Y increases by 0.5 units.

5
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In linear regression, if the slope is -.25, what occurs with each unit increase in X?

Every unit increase in X will result in a 1/4 unit decrease in Y.

6
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What is the term for the change in value of Y that occurs with each unit change in X in linear regression?

Slope

7
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What is the value of X when Y is 0 known as?

Intercept.

8
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What factors determine the intercept in linear regression analysis?

The mean of Y, the mean of X, and the slope of the regression line.

9
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What does the regression line represent?

The line that minimizes the residuals when using the value of X to predict the value of Y.

10
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What is determined by the sign and absolute value of Pearson's r for X and Y in linear regression?

The slope of the regression line.

11
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When all points in a scatterplot lie on the regression line, what is the correlation between the two variables?

+1.0 or -1.0.

12
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In the case of two predictors where the multiple R is NOT significant, what should you do?

Perform simple linear regression with the strongest predictor.

13
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The larger the multiple R, what can be said about the predicted values of Y?

The predicted values will be farther from the mean of Y.

14
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As the correlation between the two predictor variables increases, what happens to the value of multiple R?

It will decrease.