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Mathematics and Statistics · Class 12 Commerce

Ch 11Linear Regression — Class 12 Mathematics and Statistics, concept-first.

In the Std XI chapter on correlation we learnt how to measure whether two variables are related and how strongly — Karl Pearson's coefficient tells us the direction and degree of the linear relationship.

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Key concepts

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Chapter contents

The NCERT structure, section by section. Open a section to see its questions, then read the concept-first solution.

1

Meaning of Regression

In the Std XI chapter on correlation we learnt how to measure whether two variables are related and how strongly — Karl Pearson's coefficient tells us the direction and degree of the linear relationsh…

2

The Two Lines of Regression and Their Equations

For a linear relationship there are two lines of regression, one for each direction of estimation. Both are straight lines and both pass through the point of means .

3

Regression Coefficients and Their Properties

The two numbers and are the regression coefficients. They carry all the information the regression lines need, and they obey a set of properties that are frequently tested and are also useful checks o…

4

Correlation, Estimation and Finding the Means

This section ties the regression coefficients to the correlation coefficient and shows the two standard uses of the regression equations: estimating values and recovering the means.

Exercises

Sample & Board Papers

Sample papers and previous-year board questions for this subject.

+Show 19 questions19 questions
  1. Q1$b_{XY} \cdot b_{YX} =$ ______. (a) $V(X)$ (b) $\sigma_x$ (c) $r^2$ (d) $(\sigma_y)^2$Preview
  2. Q2For certain bivariate data on 5 pairs of observations given: $\sum x = 20$, $\sum y = 20$, $\sum x^2 = 90$, $\sum y^2 = 90$, $\sum xy = 76$…Preview
  3. Q3Find the equation of the line of regression of Y on X for the following data: $n = 8$, $\sum(x_i - \bar{x})(y_i - \bar{y}) = 120$, $\bar{x}…Preview
  4. Q4For 50 students of a class, the regression equation of marks in statistics (X) on the marks in accountancy (Y) is $3y - 5x + 180 = 0$. The v…Preview
  5. Q5$b_{YX}$ is ______. (a) Regression coefficient of Y on X (b) Regression coefficient of X on Y (c) Correlation coefficient between X and Y (d…Preview
  6. Q6For a bivariate data: $\sum(x - \bar{x})^2 = 1200$, $\sum(y - \bar{y})^2 = 300$, $\sum(x - \bar{x})(y - \bar{y}) = -250$ Find: $b_{yx}$ $b_{…Preview
  7. Q7For the following data, find the regression line of Y on X | $X$ | 1 | 2 | 3 | | --- | --- | --- | --- | | $Y$ | 2 | 1 | 6 | Hence find the…Preview
  8. Q8$b_{xy}$ and $b_{yx}$ are _______. (a) Independent of change of origin and scale (b) Independent of change of origin but not of scale (c) In…Preview
  9. Q9For 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 varia…Preview
  10. Q10For a bivariate data $\bar{x} = 10$, $\bar{y} = 12$, $V(X) = 9$, $\sigma_y = 4$ and $r = 0.6$ Estimate $y$ when $x = 5$ Solution: Line of re…Preview
  11. Q11State whether the following statement is True or False: The following data is not consistent: $b_{yx} + b_{xy} = 1.3$ and $r = 0.75$ (a) Tru…Preview
  12. Q12Compute the appropriate regression equation for the following data: | X | 1 | 2 | 3 | 4 | 5 | | --- | --- | --- | --- | --- | --- | | Y | 5…Preview
  13. Q13The equations of two regression lines are $10x - 4y = 80$ and $10y - 9x = -40$ Find: $\bar{x}$ and $\bar{y}$ $b_{YX}$ and $b_{XY}$ If $\text…Preview
  14. Q14If $b_{yx} > 1$ then $b_{xy}$ is ______. (a) $> 1$ (b) $< 0$ (c) $= 0$ (d) $< 1$Preview
  15. Q15Given the following information about the production (X) and demand (Y) of a commodity, obtain the regression line of X on Y. | | Production…Preview
  16. Q16For the following bivariate data obtain the equation of regression line of Y on X. | X | 1 | 2 | 3 | 4 | 5 | | --- | --- | --- | --- | --- |…Preview
  17. Q17From the following data with usual notations find correlation coefficient between X and Y: $n = 50$, $\sum (x_i - \bar{x})(y_i - \bar{y}) =…Preview
  18. Q18You are given the following information about advertising expenditure and sales: | | Advertisement expenditure (₹ in lakhs) X | Sales (₹ in…Preview
  19. Q19The equations of the two regression lines are $2x + 3y - 6 = 0$ and $5x + 7y - 12 = 0$. Find the correlation coefficient.Preview

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