Regression analysis was applied between sales data (y in $1000s) and advertising data (x in $100s) and the following information was obtained. = 12 + 1.8x n = 17 SSR = 225 SSE = 75 sb1= .2683 The point estimate of the population slope β1 is 1.8.
options: True or False
We have given regression equation is,
Sample slope =1.8
Therefore, Sample slope = The point estimate of the population slope β1 is 1.8.
True
Regression analysis was applied between sales data (y in $1000s) and advertising data (x in $100s)...
Exhibit 14-3 Regression analysis was applied between sales data (in $1000s) and advertising data (in $100s), and the following information was obtained. 121.8x n 17 SSR 225 SSE 75 Sb 0.2683 Refer to Exhibit 14-3. The critical F value at a .05 is O a. 4.54 b. 3.68 О с. 3.59 d. 4.45
NARRBEGIN: Exhibit 12-04 Exhibit 14-4 Regression analysis was applied between sales data (Y in $1,000s) and advertising data (x in $100s) and the following information was obtained. Y 12+1.8x SSR 225 SSE 75 Se-0.2683 NARREND 80. Refer to Exhibit 14-4. To perform an F test, the p-value is a. less than.01 b. ibetween.01 and.025 c. between.025 and.05 d jbetween.05 and 0.1 PTS: 1 TOP: Regression Analysis ANS: D
Regression analysis was applied between sales (in $1,000) and advertising (in $100), and the following regression function was obtained. ^y = 80 + 6.2x Based on the above-estimated regression line, if advertising is $10,000, then the point estimate for sales (in dollars) is $62,080 $142,000 $700 $700,000
Regression analysis was applied between sales (Y in $1000) and advertising (X in $10,000), and the following estimated regression equation was obtained Based on the above estimated regression line if advertising is $10,000, then the point estimated for sales (in dollars) is a.503 b. 5030 c. 50,300 d.503,000 Ÿ=500+ 3x
2. Regression analysis was applied between sales (in $1,000) and advertising (in $100), and the following regression function was obtained Y=80+6.2x Based on the above estimated regression line, if advertising is $10,000, then the point estimate for sales (in dollars) is According to my quiz the answer is 700,000 , please help me figure out how.
A shoe store developed the following estimated regression equation relating sales to inventory investment and advertising expenditures where 1inventory investment ($1000s) = advertising expenditures ($1000s) y sales ($1000s) The data used to develop the model came from a survey of 10 stores; for those data, SST 16,000 and SSR a. Compute SSE, MSE, and MSR (to 2 decimals, if necessary) 12,000 SSE MSE MSR b. Use an F test and α .05 level of significance to determine whether there is...
1. In regression analysis, the Sum of Squares Total (SST) is a. The total variation of the dependent variable b. The total variation of the independent variable c. The variation of the dependent variable that is explained by the regression line d. The variation of the dependent variable that is unexplained by the regression line Question 2 In regression analysis, the Sum of Squares Regression (SSR) is A. The total variation of the dependent variable B. The total variation of the independent variable...
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#1 In simple linear regression, r is the: a) coefficient of determination. b) mean square error. c) correlation coefficient. d) squared residual. #2 In regression analysis, with the model in the form y = β0 + β1x + ε, x is the a) estimated regression equation. b) y-intercept. c) slope. d) independent variable. #3 A regression analysis between sales (y in $1,000s) and advertising (x in dollars) resulted in the following equation. ŷ = 40,000 + 3x The above equation...
Below are the values for two variables x and y obtained from a sample of size 5. We want to build a regression equation based the sample data. 18 25 10 30 46 15 18 15 The x and y data are sample data from the population of X and Y to compute b1 as an estimate of the population slope parameter β1. The sample statistic b1 is the estimator of the population parameter β1. The estimated measure of dispersion...