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6 Cards in this Set
- Front
- Back
1. The Y-intercept (b0) represents the
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Predicted value of Y when X=0
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2. The slope (b1) represents
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The estimated average change in Y per unit change in X
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3. The coefficient of determination (r2) tells you
The proportion of total variation of dependent variable explained by the simple linear regression model |
R2 measures the amount of variation in y that is explained by variation in x
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4. The residuals represent
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The difference between the actual Y values and the predicted Y values
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5. The strength of the linear relationship between two numerical variables may be measured by the
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Coefficient of correlation
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6. If the linear regression equation is Y=10-3X
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For every increase in one unit of X, Y decreases by 3 units
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