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15. The following calculations have been made for the price of 12 stocks (X) on BSE on a certain day along with volume of sales on shares (Y), From these calculations calculate the regression equation of price of stocks on volume of shares. Ex- 580, E y 370, E xy- 11494, Ex-41658, Ey 17206

15. The following calculations have been made for the price of 12 stocks (X) on BSE on a certain day along with volume of sales on shares (Y), From these calculations calculate the regression equation of price of stocks on volume of shares. Ex- 580, E y 370, E xy- 11494, Ex-41658, Ey 17206

College Algebra
College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
ChapterP: Prerequisites
SectionP.9: Modeling With Equations
Problem 8E
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www STATISTICS - XII 14. The following data relateto advertising exnenditure and sales of 10 major shops in a city. uge Advertising expenditure (lakhs) Salės (lakhs) Mean 10 15 SD 5 3. Coefficient ofcorrelation= 0.65 a) Calculate sales when advertising expenditure is 13 lakhs. b) Calculate advertising expenditufé when sales is 20 lakhs. 15. The following calculations have been made for the price of 12 stocks (X) on BSE on a certain day along with volume of sales on shares (Y). From these calculations calculate the regression equation of price of stocks on volume of shares. Ex- 580, Ey = 370, E xy = 11494, . x = 41658, Ey= 17206 16. While studying about the relationship between scores on statistics (X) and scores on accountancy (Y) the following regression equations were obtained. Regression equation of Y on x: 3y – 2x-100=0 Regression equation of X on Y: 4y -3x+ 50 0 a) Find the correlation coefficient b) Estimate the scores on Statistics if a student got 50 score in Accountancy. Find the mean values of the variables X and Y for the following regression equations. Regression line of Y on X: 2y-x= 50 Regression line of X on Y: 3y- 2x= 10 18. The following regression equations are obtained when studying about the demand (X) and supply(Y) of a group of commodities. 26-3x-2y 0 31-6x-y 0 a) Identify regression lines and find the correlation coefficient. b) Find the mean values of the variables X and Y.
Transcribed Image Text:www STATISTICS - XII 14. The following data relateto advertising exnenditure and sales of 10 major shops in a city. uge Advertising expenditure (lakhs) Salės (lakhs) Mean 10 15 SD 5 3. Coefficient ofcorrelation= 0.65 a) Calculate sales when advertising expenditure is 13 lakhs. b) Calculate advertising expenditufé when sales is 20 lakhs. 15. The following calculations have been made for the price of 12 stocks (X) on BSE on a certain day along with volume of sales on shares (Y). From these calculations calculate the regression equation of price of stocks on volume of shares. Ex- 580, Ey = 370, E xy = 11494, . x = 41658, Ey= 17206 16. While studying about the relationship between scores on statistics (X) and scores on accountancy (Y) the following regression equations were obtained. Regression equation of Y on x: 3y – 2x-100=0 Regression equation of X on Y: 4y -3x+ 50 0 a) Find the correlation coefficient b) Estimate the scores on Statistics if a student got 50 score in Accountancy. Find the mean values of the variables X and Y for the following regression equations. Regression line of Y on X: 2y-x= 50 Regression line of X on Y: 3y- 2x= 10 18. The following regression equations are obtained when studying about the demand (X) and supply(Y) of a group of commodities. 26-3x-2y 0 31-6x-y 0 a) Identify regression lines and find the correlation coefficient. b) Find the mean values of the variables X and Y.
54 2 14 22 of a particular commodity. 15 25 30 20 15 30 20 valuate sales when the price of the ent for exercising daily in minutes(- 15 gern whe eaied
Transcribed Image Text:54 2 14 22 of a particular commodity. 15 25 30 20 15 30 20 valuate sales when the price of the ent for exercising daily in minutes(- 15 gern whe eaied
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