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HSC Commerce: Marketing and Salesmanship 12th Standard Board Exam - Maharashtra State Board Important Questions for Mathematics and Statistics

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For the following bivariate data obtain the equations of two regression lines:

X 1 2 3 4 5
Y 5 7 9 11 13
Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Lines of Regression of X on Y and Y on X Or Equation of Line of Regression

For the following data, find the regression line of Y on X

X 1 2 3
Y 2 1 6

Hence find the most likely value of y when x = 4.

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Types of Linear Regression

For bivariate data. `bar x = 53`, `bar y = 28`, byx = −1.2, bxy = −0.3. Find the correlation coefficient between x and y.

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Properties of Regression Coefficients

From the data of 20 pairs of observations on X and Y, following results are obtained.

`barx` = 199, `bary` = 94,

`sum(x_i - barx)^2` = 1200, `sum(y_i - bary)^2` = 300,

`sum(x_i - bar x)(y_i - bar y)` = –250

Find:

  1. The line of regression of Y on X.
  2. The line of regression of X on Y.
  3. Correlation coefficient between X and Y.
Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Lines of Regression of X on Y and Y on X Or Equation of Line of Regression

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

  1. Obtain the two regression equations.
  2. What is the likely sales when the advertising budget is ₹ 15 lakh?
  3. What should be the advertising budget if the company wants to attain sales target of ₹ 120 lakh?
Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Properties of Regression Coefficients

For bivariate data, the regression coefficient of Y on X is 0.4 and the regression coefficient of X on Y is 0.9. Find the value of the variance of Y if the variance of X is 9.

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Properties of Regression Coefficients

For a bivariate data, `bar x = 53`, `bar y = 28`, byx = −1.5 and bxy = −0.2. Estimate y when x = 50.

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Properties of Regression Coefficients

The two regression equations are 5x − 6y + 90 = 0 and 15x − 8y − 130 = 0. Find `bar x, bar y`, r.

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Properties of Regression Coefficients

bYX is ______.

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Lines of Regression of X on Y and Y on X Or Equation of Line of Regression

|bxy + byx | ≥ ______.

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Regression

bxy and byx are _______.

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Regression

Find the equation of the line of regression of Y on X for the following data:

n = 8, `sum(x_i - barx).(y_i - bary) = 120, barx = 20, bary = 36, sigma_x = 2, sigma_y = 3`

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Lines of Regression of X on Y and Y on X Or Equation of Line of Regression

The following results were obtained from records of age (X) and systolic blood pressure (Y) of a group of 10 men.

  X Y
Mean 50 140
Variance 150 165

and `sum (x_i - bar x)(y_i - bar y) = 1120`. Find the prediction of blood pressure of a man of age 40 years.

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Properties of Regression Coefficients

The equations of two regression lines are 10x − 4y = 80 and 10y − 9x = − 40 Find:

  1. `bar x and bar y`
  2. bYX and bXY
  3. If var (Y) = 36, obtain var (X)
  4. r
Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Properties of Regression Coefficients

Choose the correct alternative:

If byx < 0 and bxy < 0, then r is ______

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Properties of Regression Coefficients

Choose the correct alternative:

If the lines of regression of Y on X is y = `x/4` and X on Y is x = `y/9 + 1` then the value of r is

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Lines of Regression of X on Y and Y on X Or Equation of Line of Regression

State whether the following statement is True or False:

If byx = 1.5 and bxy = `1/3` then r = `1/2`, the given data is consistent

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Properties of Regression Coefficients

If n = 5, ∑xy = 76, ∑x2 = ∑y2 = 90, ∑x = 20 = ∑y, the covariance = ______

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Properties of Regression Coefficients

If the regression equations are 8x – 10y + 66 = 0 and 40x – 18y = 214, the mean value of y is ______

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Lines of Regression of X on Y and Y on X Or Equation of Line of Regression

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?

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Properties of Regression Coefficients
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