Advertisements
Advertisements
प्रश्न
The following information is given.
Details | X (in ₹) | Y (in ₹) |
Arithmetic Mean | 6 | 8 |
Standard Deviation | 5 |
Coefficient of correlation between X and Y is
- The regression Coefficient of Y on X
- The most likely value of Y when X = ₹ 100.
उत्तर
Given
σX = 5, σY =
and r(X, Y) =
Regression coefficient of Y on X
byx =
=
= 1.422
byx = 1.422
∴ Regression line of Y on X is
Y − 8 = 1.422 (X − 6)
Y − 8 = 1.422X − 8.532
Y = 1.422X − 0.532
When X = ₹ 100
Y = 1.422(100) − 0.532
= 142.2 − 0.532
Y = 141.67
∴ When X = ₹ 100, Y = ₹ 141.67
APPEARS IN
संबंधित प्रश्न
Given the following data, what will be the possible yield when the rainfall is 29.
Details | Rainfall | Production |
Mean | 25 |
40 units per acre |
Standard Deviation | 3 |
6 units per acre |
Coefficient of correlation between rainfall and production is 0.8.
The following data relate to advertisement expenditure (in lakh of rupees) and their corresponding sales (in crores of rupees)
Advertisement expenditure | 40 | 50 | 38 | 60 | 65 | 50 | 35 |
Sales | 38 | 60 | 55 | 70 | 60 | 48 | 30 |
Estimate the sales corresponding to advertising expenditure of ₹ 30 lakh.
Find the equation of the regression line of Y on X, if the observations (Xi, Yi) are the following (1, 4) (2, 8) (3, 2) (4, 12) (5, 10) (6, 14) (7, 16) (8, 6) (9, 18).
For 5 observations of pairs of (X, Y) of variables X and Y the following results are obtained. ∑X = 15, ∑Y = 25, ∑X2 = 55, ∑Y2 = 135, ∑XY = 83. Find the equation of the lines of regression and estimate the values of X and Y if Y = 8; X = 12.
The regression coefficient of X on Y
The regression coefficient of Y on X
The lines of regression of X on Y estimates
The lines of regression intersect at the point
X and Y are a pair of correlated variables. Ten observations of their values (X, Y) have the following results. ∑X = 55, ∑XY = 350, ∑X2 = 385, ∑Y = 55, Predict the value of y when the value of X is 6.
Using the following information you are requested to
- obtain the linear regression of Y on X
- Estimate the level of defective parts delivered when inspection expenditure amounts to ₹ 82
∑X = 424, ∑Y = 363, ∑X2 = 21926, ∑Y2 = 15123, ∑XY = 12815, N = 10.
Here X is the expenditure on inspection, Y is the defective parts delivered.