REGRESSION REVIEW

# REGRESSION REVIEW - The Y axis 4 The BEST regression line...

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REGRESSION REVIEW 1. The two components of the regression line equation are . ..  2. What is the general form of the regression line equation?  3. The intercept in the regression equation is where the line crosses . ...  4. The BEST regression line equation minimizes the error between the actual values and those predicted  by the regression line. Error is defined as . ..  5. The term for the average error in the regression line is . 6. What is the denominator in the equation for the standard error of the estimate?  7. If the sum of squared differences (actual - predicted) is 232 and the number of pairs is 6 then what is  the standard error of the estimate?

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ANSWERS 1. The two components of the regression line equation are . ..  The slope and the intercept 2. What is the general form of the regression line equation?  Y=MX+B 3. The intercept in the regression equation is where the line crosses .

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Unformatted text preview: ... The Y axis 4. The BEST regression line equation minimizes the error between the actual values and those predicted by the regression line. Error is defined as . .. Sum of squared differences between actual and predicted values 5. The term for the average error in the regression line is . . The standard error of the estimate 6. What is the denominator in the equation for the standard error of the estimate? Number of pairs - 2 7. If the sum of squared differences (actual - predicted) is 232 and the number of pairs is 6 then what is the standard error of the estimate? Answer=7.6158. Standard error of the estimate= sqrt((sum of squared deviations)/(number of pairs - 2)) Standard error of the estimate= sqrt((232)/(6 - 2)) Standard error of the estimate=7.6158 PROBLEMS 1. 2....
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REGRESSION REVIEW - The Y axis 4 The BEST regression line...

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