3.The following data refers to the price of a good ‘P’ and the quantity of the good supplied, ‘S’. P 2 7 5 1 4 8 2 8 S 15 41 32 9 28 43 17 40 a.Estimate the linear regression line b.Estimate the standard errors of 4.The following results have been obtained from a simple of 11 observations on the values of sales $Y$ of a firm and the corresponding prices $X$. i)Estimate the regression line of sale on price and interpret the results ii)What is the part of the variation in sales which is not explained by the regression line? iii)Estimate the price elasticity of sales. 5.A sample of 20 observation corresponding to the regression model gave the following data. a. Estimate b. Calculate the variance of our estimates c. Estimate the conditional mean of Y corresponding to a value of X fixed at X=10.

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3.The following data refers to the price of a good ‘P’ and the quantity of the good supplied, ‘S’.

P

2

7

5

1

4

8

2

8

S

15

41

32

9

28

43

17

40

a.Estimate the linear regression line

b.Estimate the standard errors of

4.The following results have been obtained from a simple of 11 observations on the values of sales $Y$ of a firm and the corresponding prices $X$.

i)Estimate the regression line of sale on price and interpret the results

ii)What is the part of the variation in sales which is not explained by the regression line?

iii)Estimate the price elasticity of sales.

5.A sample of 20 observation corresponding to the regression model gave the following data.

a. Estimate

b. Calculate the variance of our estimates

c. Estimate the conditional mean of Y corresponding to a value of X fixed at X=10.

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Business Boruu Taari 3 months 2025-02-18T15:47:57+05:00 2025-02-18T15:47:57+05:00 1 Answer 23 views Beginner

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