Advertisements
Advertisements
Question
You are given the following data:
Details | X | Y |
Arithmetic Mean | 36 | 85 |
Standard Deviation | 11 | 8 |
If the Correlation coefficient between X and Y is 0.66, then find
- the two regression coefficients,
- the most likely value of Y when X = 10.
Solution
`bar"X"` = 36, `bar"Y"` = 85, σx = 11, σy = 8, r = 0.66
(i) The two regression coefficients are,
byx = `"r"(sigma_"y")/(sigma_"x") = 0.66 xx 8/11` = 0.48
bxy = `"r"(sigma_"x")/(sigma_"y") = 0.66 xx 11/8` = 0.9075 = 0.91
(ii) Regression equation of X on Y:
`"X" - bar"X" = "b"_"xy"("Y" - bar"Y")`
X – 36 = 0.91(Y – 85)
X – 36 = 0.91Y – 77.35
X = 0.91Y – 77.35 + 36
X = 0.91Y – 41.35
Regression line of Y on X:
`"Y" - bar"Y" = "b"_"yx"("X" - bar"X")`
Y – 85 = 0.48(X – 36)
Y = 0.48X – 17.28 + 85
Y = 0.48X + 67.72
The most likely value of Y when X = 10
Y = 0.48(10) + 67.72 = 72.52
APPEARS IN
RELATED QUESTIONS
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.
Obtain the two regression lines from the following data N = 20, ∑X = 80, ∑Y = 40, ∑X2 = 1680, ∑Y2 = 320 and ∑XY = 480.
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 two regression lines were found to be 4X – 5Y + 33 = 0 and 20X – 9Y – 107 = 0. Find the mean values and coefficient of correlation between X and Y.
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.
When one regression coefficient is negative, the other would be
The lines of regression of X on Y estimates
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.
Find the line regression of Y on X
X | 1 | 2 | 3 | 4 | 5 | 8 | 10 |
Y | 9 | 8 | 10 | 12 | 14 | 16 | 15 |