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2.5 points Save Answer QUESTION 1 The mathematical equation relating the independent variable to the expected value of the dependent variable; that is, E() = Bo + 81x, is known as the regression equation. correlation model. estimated regression equation. regression model. 2.5 points Save Answer QUESTION 2 The model developed from sample data that has the form of $ = bo + b1x is known as the regression equation. correlation model. estimated regression equation. regression model. 2.5 points Save Answer QUESTION 3 In the following estimated regression equation $ = bo + b1x Obj is the slope. by is the intercept. byx is the slope. byx is the intercept. 2.5 points Save Answer QUESTION 4 In regression analysis, the unbiased estimate of the variance is coefficient of correlation. coefficient of determination. mean square error. slope of the regression equation. 2.5 points Save Answer QUESTION 5 The standard error of the estimate is the standard deviation of t. O square root of SSE. square root of 5ST. square root of MSE.square root of SSE. square root of SST. square root of MSE. QUESTION 6 2.5 points Save Answer The proportion of the variation in the dependent variable y that is explained by the estimated regression equation is measured by the correlation coefficient standard error of the estimate. coefficient of determination. confidence interval estimate. QUESTION 7 2.5 points Save Answer In a regression analysis, the standard error of the estimate is determined to be 4. In this situation, the MSE O is 2. O is 16. depends on the sample size. O requires a known SSE. QUESTION 8 2.5 points Save Answer A regression analysis between sales (y in $1000) and advertising (x in dollars) resulted in the following equation: = 30,000 + 5x The above equation implies that an increase of $4 in advertising is associated with an increase of $5000 in sales. increase of $1 in advertising is associated with an increase of $5 in sales. increase of $1 in advertising is associated with an increase of $34,000 in sales. increase of $1 in advertising is associated with an increase of $5000 in sales. QUESTION 9 2.5 points Save Answer n regression analysis, the independent variable is O used to predict other independent variables. used to predict the dependent variable. the variable that is not used for prediction. the variable that is being predicted.2.5 points Save Answer QUESTION 10 Larger values of / imply that the observations are more closely grouped about the average value of the independent variables. average value of the dependent variable. least squares line. origin. 2.5 points Save Answer QUESTION 11 In a regression analysis, the coefficient of determination is .4225. The coefficient of correlation in this situation is O -.65 if by is negative. O . 1785. O . 18 if by is positive. O .4225. 2.5 points Save Answer QUESTION 12 Which of the following is correct? OSSE = SSR + SST SSR = SSE + SST O SST = 55R + SSE SST = SSR - SSE 2.5 points Save Answer QUESTION 13 Correlation analysis is used to determine the equation of the regression line. the strength of the linear relationship between the dependent and the independent variables. a specific value of the dependent variable for a given value of the independent variable. a cause-and-effect relationship between the dependent and the independent variables. 2.5 points Save Answer QUESTION 14 In a regression and correlation analysis, if r2 = 1, then O SSE must also be equal to one. O SSE must be equal to zero. O SSE can be any positive value. OSSE must be negative.2.5 points Save Answer QUESTION 15 n a regression analysis, the regression equation is given by y = 12 - 6x. If SSE = 510 and SST = 1000, then the coefficient of correlation is O ..7. O + .7. O .49. O -.49. 2.5 points Save Answer QUESTION 16 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 3units, then demand is expected to increase by 120 units. decrease by 100 units. increase by 30 units. O decease by 30 units. 2.5 points Save Answer QUESTION 17 If the coefficient of correlation is .8, the percentage of variation in the dependent variable explained by the variation in the independent variable is O .859%. O 85%. O .72259%. O 72.259%. 2.5 points Save Answer QUESTION 18 Regression analysis was applied between sales (in $1000) and advertising (in $100) and the following regression function was obtained. $ = 500 + 4x Based on the above estimated regression line, if advertising is $10,000, then the point estimate for sales (in dollars) is $900. $900,000. $40,500. $505,000. 2.5 points Save Answer QUESTION 192.5 points Save Answer QUESTION 19 If the coefficient of correlation is .4, the percentage of variation in the dependent variable explained by the variation in the independent variable is 40%. O 169%. O 49%. O 639%. 2.5 points Save Answer QUESTION 20 In regression analysis, if the dependent variable is measured in dollars, the independent variable must also be in dollars. must be in some units of currency. can be measured in any units. cannot be in dollars