33. In a regression analysis the standard error is determined to be 4. In this s

Question

33. In a regression analysis the standard error is determined to be 4. In this situation the MSE on the on the of 34. A regression analysis between sales (Y in S1000) and advertising (X in dollars) resulted in the following equation 30,000 +4 X The above equation implies that an is associated with an increase of S4,000 in sales of $4 in adv of Si in ad an increase of S4 in sales of $1 in ad is associatod with an increase of S4,000 in sales 35. In a simple regression analysis (where Y is a dependent and X an independent variable), if the Y intercept is positive, then e correlation betwoen X and Y fY is incrcased, X must also incrcase of these aliernatives is correct In a regression analysis, the coefficient of correlation is 0.16. The coefficient of determination in this situation is 56 37. Regression analysis was applied between demand for a product (Y) and the price of the product (X), and the following estimated regression equation was obtained. 120-10X Based on the above estimated regression equation, if price is increased by 2 units, then demand is expected to by 120 uni

Explanation / Answer

33)

MSE =42 =16 ; option B

34)

option D is correct

35)

optionj D is correct

36)

coefficeint of determination =(0.16)2 =0.0256

37)

demand is expected to decrease by 20 units

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