# Project #87488 - statistics homework

Answers must show all work for all quantitative problems.

1.  If the coefficient of determination is a positive value, then the coefficient of correlation

 A. must also be positive B. must be zero C. can be either negative or positive D. must be larger than 1

2. In the following estimated regression equation   y Ì‚= b0+b1 x

 A. b1 is the slope B. b1 is the intercept C. b0 is the slope D. None of these alternatives is correct.

3.  The value of the coefficient of correlation (R)

 A. can never be equal to the value of the coefficient of determination (R2) B. can be equal to the value of the coefficient of determination (R2 ) C. is always smaller than the value of the coefficient of determination D. is always larger than the value of the coefficient of determination

4. A regression analysis between sales (Y in \$1000) and advertising (X in dollars) resulted in the following equation

Y= 30,000 + 4 X

The above equation implies that an

 A. increase of \$4 in advertising is associated with an increase of \$4,000 in sales B. increase of \$1 in advertising is associated with an increase of \$4 in sales C. increase of \$1 in advertising is associated with an increase of \$34,000 in sales D. increase of \$1 in advertising is associated with an increase of \$4,000 in sales

5.   In a simple regression analysis (where Y is a dependent and X an independent variable), if the Y intercept is positive, then

 A. there is a positive correlation between X and Y B. if X is increased, Y must also increase C. if Y is increased, X must also increase D. None of these alternatives is correct.

6.   In a regression analysis, the regression equation is given by y = 12 - 6x. If SSE = 510 and SST = 1000, then the coefficient of correlation is

 A. 0.7 B. -0.7 C. 0.49 D. -0.49

7.  If the coefficient of determination is equal to 1, then the coefficient of correlation

 A. must also be equal to 1 B. must be -1 C. can be either -1 or +1 D. can be any value between -1 to +1

 Subject Business Due By (Pacific Time) 10/17/2015 04:00 pm
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