Regression 1 21497 21497 2527 0000 2 0851 9 predictor

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Regression 1 21.497 21.497 25.27 Error 14 11.912 0.851 Total 15 33.409 Predictor Coef StdError tStat P-value Intercept 3.962 1.440 2.75 0.016 Industry 0.040451 0.008048 5.03 Durbin-Watson Statistic 1.59 Referring to Table 13-5, the correlation coefficient is ________. 0.000 0.000 .802 .643 11.912 .851
Question 12 4 / 4 points If the Durbin-Watson statistic has a value close to 0, which assumption is violated? In other words, which assumption is the Durbin-Watson statistic checking to see is violated?
Question 13 4 / 4 points The standard error of the estimate is a measure of total variation of the Y variable. the variation around the sample regression line. explained variation.
the variation of the X variable. Question 14 4 / 4 points The coefficient of determination ( r 2 ) tells us
Question 15 4 / 4 points True or False: The Regression Sum of Squares (SSR) can never be greater than the Total Sum of Squares (SST). True False
Question 16 4 / 4 points True or False: The coefficient of determination represents the ratio of SSR to SST.
Question 17 4 / 4 points In a multiple regression problem involving two independent variables, if b 1 is computed to be +2.0, it means that the relationship between X 1 and Y is significant. the estimated average of Y increases by 2 units for each increase of 1 unit of X 1 , holding constant. the estimated average of Y increases by 2 units for each increase of 1 unit of X 1 , without regard to X 2 X 2 .
Question 18 4 / 4 points 2 . .

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