Advertisements
Advertisements
प्रश्न
Obtain the two regression lines from the following data N = 20, ∑X = 80, ∑Y = 40, ∑X2 = 1680, ∑Y2 = 320 and ∑XY = 480.
उत्तर
N = 20, ∑X = 80, ∑Y = 40, ∑X2 = 1680, ∑Y2 = 320 and ∑XY = 480
`bar"X" = (sum"X")/"N" = 80/20` = 4
`bar"Y" - (sum"Y")/"N" = 40/20` = 2
byx = `("N"sum"XY" - (sum"X")(sum"Y"))/("N"sum"X"^2 - (sum"X")^2)`
= `(20(480) - (80)(40))/(20(1680) - (80)^2)`
= `(9600 - 3200)/(33600 - 6400)`
= `6400/27200`
= 0.235
= 0.24
Regression line of Y on X
`"Y" - bar"Y" = "b"_"yx"("X" - bar"X")`
Y − 2 = 0.24 (X − 4)
Y = 0.24X − 0.96 + 2
Y = 0.24X + 1.04
bxy = `("N"sum"XY" - (sum"X")(sum"Y"))/("N"sum"Y"^2 - (sum"Y")^2)`
= `(20(480) - (80)(40))/(20(320) - (40)^2)`
= `(9600 - 3200)/(6400 - 1600)`
= `6400/4800`
= 1.33
Regression line of X on Y
`"X" - bar"X" = "b"_"xy"("Y" - bar"Y")`
X – 4 = 1.33 (Y – 2)
X = 1.33Y – 2.66 + 4
X = 1.33Y + 1.34
APPEARS IN
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 following data give the height in inches (X) and the weight in lb. (Y) of a random sample of 10 students from a large group of students of age 17 years:
X | 61 | 68 | 68 | 64 | 65 | 70 | 63 | 62 | 64 | 67 |
Y | 112 | 123 | 130 | 115 | 110 | 125 | 100 | 113 | 116 | 125 |
Estimate weight of the student of a height 69 inches.
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 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
When one regression coefficient is negative, the other would be
The lines of regression of X on Y estimates
The lines of regression intersect at the point
The term regression was introduced by
The following data pertains to the marks in subjects A and B in a certain examination. Mean marks in A = 39.5, Mean marks in B = 47.5 standard deviation of marks in A = 10.8 and Standard deviation of marks in B = 16.8. coefficient of correlation between marks in A and marks in B is 0.42. Give the estimate of marks in B for the candidate who secured 52 marks in A.