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HSC Commerce (English Medium) इयत्ता १२ वी - Maharashtra State Board Important Questions for Mathematics and Statistics

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Mathematics and Statistics
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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

Two samples from bivariate populations have 15 observations each. The sample means of X and Y are 25 and 18 respectively. The corresponding sum of squares of deviations from means are 136 and 148 respectively. The sum of product of deviations from respective means is 122. Obtain the regression equation of x on 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
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