27.A regression analysis between sales in $1000) squares line:-82+7x. This impli

Question

27.A regression analysis between sales in $1000) squares line:-82+7x. This implies and advertising (x in $100) resulted i in the folowing least that if advertising is $900, then the prediced amount of sales (n $6,382 b. $88,300 . $145,000 d. $82,063 e 6382000 28. If all of the values of an independent vansbiet of deternination independent variable x will result in a coefficient of deternination ( x are equal, then regressing a dependest variable y on this equal to a. 1.3 c. 0.0 1.0 e. 1,3 ear regression problem, suppose the sum of squares for regression (SSR) is 90. Which of the following must be true? a. The correlation coefficient is 0.9 b. The coefficient of determination is 08i. e. The total sum of squares (Total SS) is at least 90 d. The sum of squares for error (SSE) is at most 90 e· The coeficient of determination is 90 30. A regression analysis between weight o in pounds) and height x in inches) resulted in the following least squares line: - 128 + ox. This implies that if the beight is increased by I inch,the weight on average is expected to: a. increase by I pound b. decrease by I pound e. decrease by 6 pounds d. increase by 6 pounds e increase by 134 pounds 31. Given the least squares regression line -5-2x a. b. c. d. e. the relationship between x and y is positive the relationship between r and y is negative as x increases, so does y as a decreases, so does y y is the square of x 32. In simple linear regression, most often we perform a two-tail test of the population s whether there is sufficient evidence to infer that a linear relationship exists. The null hypothesis is stated as: b.

Explanation / Answer

27. The equation is y=82+7x

we need to find the predicted value of y for x=9 (because x value is given in 100s)

thus y=82+7*9=145

since the y value is in thousands, the answer is C

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