17. SSE can never be a. larger than SST c. equal to 1 18. A regression...

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17. SSE can never be a. larger than SST c. equal to 1 18. A regression analysis between sales (in $1000) and price (in dollars) resulted in the following equation Ŷ = 50,000-8X The above equation implies that an a. increase of $1 in price is associated with a decrease of $8 in sales b. increase of $8 in price is associated with an increase of $8,000 in sales increase of $1 in price is associated with a decrease of $42,000 in sales d. increase of $1 in price is associated with a decrease of $8000 in sales Exhibit 12-6 b. smaller than SST d. equal to zero y Dependent Variable 20 25 32 43 20. X Independent Variable 8 12 19. Refer to Exhibit 12-6. The slope of the regression equation is a. 120.348 b. 12.1965 c.-2.5435 d. 2.5435 Refer to Exhibit 12-6. The y intercept is a. 120.348 b. 12.1965 c. -2.5435 d. 2.5435 17. SSE can never be a. larger than SST c. equal to 1 18. A regression analysis between sales (in $1000) and price (in dollars) resulted in the following equation Ŷ = 50,000-8X The above equation implies that an a. increase of $1 in price is associated with a decrease of $8 in sales b. increase of $8 in price is associated with an increase of $8,000 in sales increase of $1 in price is associated with a decrease of $42,000 in sales d. increase of $1 in price is associated with a decrease of $8000 in sales Exhibit 12-6 b. smaller than SST d. equal to zero y Dependent Variable 20 25 32 43 20. X Independent Variable 8 12 19. Refer to Exhibit 12-6. The slope of the regression equation is a. 120.348 b. 12.1965 c.-2.5435 d. 2.5435 Refer to Exhibit 12-6. The y intercept is a. 120.348 b. 12.1965 c. -2.5435 d. 2.5435