Reference no: EM1319619
Question1: The coefficient of determination (r2) equals
[A] 0.5
[B] -0.5
[C] 0.7071
[D] -0.7071
Question2: The least squares estimate of the slope is
[A] 1
[B] 0
[C] 3
[D] -1
Question3. Regression analysis was applied between sales data (Y in $1,000s) and advertising data (x in $100s) and the following information was obtained. = 12 + 1.8 x.
n = 17; SSR = 225; SSE = 75; Sb1 = 0.2683
Based on the above estimated regression equation, if advertising is $3,000, then the point estimate for sales (in dollars) is
[A] $66,000
[B] $5,412
[C] $66
[D] $17,400
Question4. 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 Y is increased, X must also increase
[C] None of these alternatives is correct
[D] if X is increased, Y must also increase