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| The difference between the observed value of y and the predicted value of y; the error |
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| Least-squares regression line |
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| The line that minimizes the sum of the squared residuals between the observed values of y and the predicted values of y |
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| Least-squares regression line, y hat = |
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| We do not interpret the y-intercept if |
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Definition
1. 0 is not a reasonable value for the explanatory variable
2. No observations exist near x = 0 in the data set; outside scope of the model |
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Term
| If the coefficient indicates no linear relation, we then use the _____ as the predicted value |
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Definition
| Mean value of the response variable |
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