Advertisements
Advertisements
Question
A survey of 50 families to study the relationships between expenditure on accommodation in (₹ x) and expenditure on food and entertainment (₹ y) gave the following results: `sumx = 8500, sumy = 9600, σ_x = 60, σ_y = 20, r = 0.6`
Estimate the expenditure on food and entertainment when expenditure on accommodation is ₹ 200.
Solution
`barx = (sumx)/n = 170`,
`bary = (sumy)/n = 192`,
`b_(yx) = rσ_y/σ_x`
= `0.6 xx 20/60`
= 0.2
Regression equation y on x is
y − 192 = 0.2(x − 170)
`\implies` y − 192 = 0.2x − 34
`\implies` y = 0.2x + 158
Put x = 200
`\implies` y = 0.2(200) + 158 = 198
∴ Expenditure on food and entertainment = ₹ 198.
APPEARS IN
RELATED QUESTIONS
If `vecx = 18, vecy=100,σy =20` , bary` and correlation coefficient xyr 0.8, find the regression equation of y on x.
The following results were obtained with respect to two variables x and y.
∑ x = 15 , ∑y = 25, ∑xy = 83, ∑xy = 55, ∑y2 =135 and n =5
(i) Find the regression coefficient xy b .
(ii) Find the regression equation of x on y.
An analyst analysed 102 trips of a travel company. He studied the relation between travel expenses (y) and the duration (x) of these trips. He found that the relation between x and y was linear. Given the following data, find the regression equation of y on x.
`sumx` = 510, `sumy` = 7140, `sumx^2` = 4150, `sumy^2` = 740200, `sumxy` = 54900