NARRBEGIN: Exhibit 12-04 Exhibit 14-4 Regression analysis was applied between sales data (Y in $1,000s) and...
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
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
In a regression analysis involving 30 observations, the following estimated regression equation was obtained. y=17.6+3.8x1-2.3x2+7.6x3+2.7x4 For this estimated regression equation SST= 1805 and SSR=1756. a. At a= 0.05 , test the significance of the relationship among the variables. SSE=_________________ (to 1 decimal, if necessary) MSR=________________ (to 1 decimal, if necessary) MSE=+_______________ (to 2 decimals, if necessary) What is the value of the F test statistic (to 1 decimal)? _______________ What is the p-value? - Select your answer -less than .01,between...
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
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
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...
A multiple regression analysis between yearly income (Y in $1,000s), college grade point average (X1), age of the individuals (X2), and the gender of the individual (X3; zero representing female and one representing male) was performed on a sample of 10 people, and the following results were obtained. Coefficient Standard Error Constant 4.0928 1.4400 X1 10.0230 1.6512 X2 0.1020 0.1225 X3 -4.4811 1.4400 Analysis of Variance Source DoF SoS MS F Regression ? 360.59...
The commercial division of a real estate firm is conducting a regression analysis of the relationship between x, annual gross rents (in thousands of dollars), and y, selling price (in thousands of dollars) for apartment buildings. Data were collected on several properties recently sold and the following computer output was obtained. The regression equation is Y =20.0 + 7.21 X Predictor Coef SE Coef T Constant 20.000 3.2213 6.21 X 7.210 1.3628 5.29 Analysis of Variance SOURCE DF SS Regression...
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.
Question 14 A regression analysis between sales (Yin $1,000) and advertising (X in dollars) resulted in the following equation Y = 30,000+ 4X. The equation implies that an: Increase of $4 in advertising is associated with an increase of $4.000 in sales Increase of $1 in advertising is associated with an increase of $4,000 in sales Increase of $1 in advertising is associated with an increase of $34.000 in sales - Previous Next → No new data to save. Last...