Advertisements
Advertisements
Question
The two regression lines between height (X) in inches and weight (Y) in kgs of girls are,
4y − 15x + 500 = 0
and 20x − 3y − 900 = 0
Find the mean height and weight of the group. Also, estimate the weight of a girl whose height is 70 inches.
Advertisements
Solution
Given, X = Height (in inches), Y = weight (in Kg)
The equation of regression are
4y - 15x + 500 = 0
i.e., –15x + 4y = – 500 …(i)
and 20x – 3y – 900 = 0
i.e., 20x – 3y = 900 …(ii)
By 3 × (i) + 4 × (ii), we get
- 45x + 12y = - 1500
+ 80x - 12y = 3600
35x = 2100
∴ x = 60
Substituting x = 60 in (i), we get
–15(60) + 4y = –500
∴ 4y = 900 – 500
∴ y = 100
Since the point of intersection of two regression lines is `bar x, bar y`,
`bar x` = mean height of the group = 60 inches, and
`bar y` = mean weight of the group = 100 kg.
Let 4y – 15x + 500 = 0 be the regression equation of Y on X.
∴ The equation becomes 4y = 15x – 500
i.e., Y = `15/4"X" - 500/4` ...(i)
Comparing it with Y = bYX X + a, we get
∴ `"b"_"YX" = 15/4`
∴ Now, other equation 20x – 3y – 900 = 0 be the regression equation of X on Y
∴The equation becomes 20x – 3y – 900 = 0
i.e., 20x = 3y + 900
X = `3/20"Y" + 900/20`
Comparing it with X = bXY Y + a',
∴ `"b"_"XY" = 3/20`
Now, `"b"_"YX" * "b"_"XY" = 15/4 * 3/20 = 0.5625`
i.e., bXY . bYX < 1
∴ Assumption of regression equations is true.
Now, substituting x = 70 in (i) we get
y = `15/4 xx 70 - 500/4 = (1050 - 500)/4 = 550/4 = 137.5`
∴ Weight of girl having height 70 inches is 137.5 kg
APPEARS IN
RELATED QUESTIONS
For bivariate data. `bar x = 53`, `bar y = 28`, byx = −1.2, bxy = −0.3. Find the correlation coefficient between x and y.
For bivariate data. `bar x = 53, bar y = 28, "b"_"YX" = - 1.2, "b"_"XY" = - 0.3` Find estimate of X for Y = 25.
You are given the following information about advertising expenditure and sales.
| Advertisement expenditure (₹ in lakh) (X) |
Sales (₹ in lakh) (Y) | |
| Arithmetic Mean | 10 | 90 |
| Standard Mean | 3 | 12 |
Correlation coefficient between X and Y is 0.8
- Obtain the two regression equations.
- What is the likely sales when the advertising budget is ₹ 15 lakh?
- What should be the advertising budget if the company wants to attain sales target of ₹ 120 lakh?
Bring out the inconsistency in the following:
bYX = bXY = 1.50 and r = - 0.9
Given the following information about the production and demand of a commodity obtain the two regression lines:
| X | Y | |
| Mean | 85 | 90 |
| S.D. | 5 | 6 |
The coefficient of correlation between X and Y is 0.6. Also estimate the production when demand is 100.
An inquiry of 50 families to study the relationship between expenditure on accommodation (₹ x) and expenditure on food and entertainment (₹ y) gave the following results:
∑ x = 8500, ∑ y = 9600, σX = 60, σY = 20, r = 0.6
Estimate the expenditure on food and entertainment when expenditure on accommodation is Rs 200.
The equations of two regression lines are
2x + 3y − 6 = 0
and 3x + 2y − 12 = 0 Find
- Correlation coefficient
- `sigma_"X"/sigma_"Y"`
For a bivariate data, `bar x = 53`, `bar y = 28`, byx = −1.5 and bxy = −0.2. Estimate y when x = 50.
In a partially destroyed record, the following data are available: variance of X = 25, Regression equation of Y on X is 5y − x = 22 and regression equation of X on Y is 64x − 45y = 22 Find
- Mean values of X and Y
- Standard deviation of Y
- Coefficient of correlation between X and Y.
The two regression equations are 5x − 6y + 90 = 0 and 15x − 8y − 130 = 0. Find `bar x, bar y`, r.
For certain X and Y series, which are correlated the two lines of regression are 10y = 3x + 170 and 5x + 70 = 6y. Find the correlation coefficient between them. Find the mean values of X and Y.
Regression equations of two series are 2x − y − 15 = 0 and 3x − 4y + 25 = 0. Find `bar x, bar y` and regression coefficients. Also find coefficients of correlation. [Given `sqrt0.375` = 0.61]
Choose the correct alternative:
If for a bivariate data, bYX = – 1.2 and bXY = – 0.3, then r = ______
Choose the correct alternative:
If the regression equation X on Y is 3x + 2y = 26, then bxy equal to
Choose the correct alternative:
|byx + bxy| ≥ ______
Choose the correct alternative:
Both the regression coefficients cannot exceed 1
State whether the following statement is True or False:
If bxy < 0 and byx < 0 then ‘r’ is > 0
State whether the following statement is True or False:
The following data is not consistent: byx + bxy =1.3 and r = 0.75
State whether the following statement is True or False:
Corr(x, x) = 0
State whether the following statement is True or False:
Cov(x, x) = Variance of x
|bxy + byx| ≥ ______
The value of product moment correlation coefficient between x and x is ______
Arithmetic mean of positive values of regression coefficients is greater than or equal to ______
The geometric mean of negative regression coefficients is ______
Given the following information about the production and demand of a commodity.
Obtain the two regression lines:
| ADVERTISEMENT (x) (₹ in lakhs) |
DEMAND (y) (₹ in lakhs) |
|
| Mean | 10 | 90 |
| Variance | 9 | 144 |
Coefficient of correlation between x and y is 0.8.
What should be the advertising budget if the company wants to attain the sales target of ₹ 150 lakhs?
bXY . bYX = ______.
