The residuals represent a) the difference between the actual Y values and the me

Question

The residuals represent a) the difference between the actual Y values and the mean of Y. b) the difference between the actual Y values and the predicted Y values. c) the squareroot of the slope. d) the predicted value of Y for the average X value. If the correlation coefficient (r) - 1.00, then a) all the data points must fall exactly on a straight line with a slope that equals 1.00. b) all the data points must fall exactly on a straight line with a negative slope. c) all the data points must fall exactly on a straight line with a positive slope. d) all the data points must fall exactly on a horizontal straight line with a zero slope. Assuming a linear relationship between X and Y, if the coefficient of correlation (r) equals, a) there is no correlation. b) the slope (b_1) is negative. c) variable X is larger than variable d) the variance of X is negative.

Explanation / Answer

16)the difffernece b/w actual and predicted value of y. option B

17)option C is correct

18)option b is correct

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