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प्रश्न
The lines of regression intersect at the point
पर्याय
(X, Y)
`(bar"X", bar"Y")`
(0, 0)
(σx, σy)
उत्तर
`(bar"X", bar"Y")`
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संबंधित प्रश्न
From the data given below:
Marks in Economics: | 25 | 28 | 35 | 32 | 31 | 36 | 29 | 38 | 34 | 32 |
Marks in Statistics: | 43 | 46 | 49 | 41 | 36 | 32 | 31 | 30 | 33 | 39 |
Find
- The two regression equations,
- The coefficient of correlation between marks in Economics and Statistics,
- The mostly likely marks in Statistics when the marks in Economics is 30.
The heights (in cm.) of a group of fathers and sons are given below:
Heights of fathers: | 158 | 166 | 163 | 165 | 167 | 170 | 167 | 172 | 177 | 181 |
Heights of Sons: | 163 | 158 | 167 | 170 | 160 | 180 | 170 | 175 | 172 | 175 |
Find the lines of regression and estimate the height of the son when the height of the father is 164 cm.
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.
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 equations of two lines of regression obtained in a correlation analysis are the following 2X = 8 – 3Y and 2Y = 5 – X. Obtain the value of the regression coefficients and correlation coefficients.
The regression coefficient of X on Y
The regression coefficient of Y on X
Find the line regression of Y on X
X | 1 | 2 | 3 | 4 | 5 | 8 | 10 |
Y | 9 | 8 | 10 | 12 | 14 | 16 | 15 |
The following information is given.
Details | X (in ₹) | Y (in ₹) |
Arithmetic Mean | 6 | 8 |
Standard Deviation | 5 | `40/3` |
Coefficient of correlation between X and Y is `8/15`. Find
- The regression Coefficient of Y on X
- The most likely value of Y when X = ₹ 100.