Correlation and Regression Analysis
Covers correlation coefficients, regression analysis, and related statistical concepts including calculation methods and terminology
Questions
Given $\sum xy=120, \sigma _x=8 ,\sum x^2=90,\sigma _ y=7 ,n=10$ ; where x and y are deviations from mean, the correlation coefficient is
- $0.21$
- $0.9$
- $0.36$
- $0.6$
Choose the statement which consists of two correlated variables.
- Increase in the intensity of cold results in greater sale of woollen clothes
- Increase in temperature of delhi has led to congestion
- Increase in weight of children s accompanied by increase in weight of their mother
- None of the above
Calculate Pearson's coefficient of correlation between the values of $X$ and $Y$.
| X | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| Y | 7 | 6 | 5 | 4 | 3 |
- $-0.3$
- $0.3$
- $1$
- $-1$
For $ n=25,\sum x=125,\sum x^2=650,\sum y=100,\sum y^2=460,\sum xy=508$, correlation coefficient is
- $0.99$
- $0.207$
- $0.66$
- $0.89$
$n=25,\sum x=125,\sum x^2=650, \sum y=100,\sum y^2=460,\sum xy=508$. It was observed that two pair of values of $(x,y)$ were copied as $ (6,14)$ and $(8,6) $ instead of $(8,12),(6,8).$ The correct correlation coefficient is
- $0.667$
- $0.87$
- $-0.25$
- $0.356$
The coefficient of correlation when coefficients of regression are $0.2$ and $1.8$ is
- $0.36$
- $0.2$
- $0.6$
- $0.9$
For the variables $x$ and $y$, the two regression lines are $6x+y=30$ and $3x+2y=25$. What are the value of $\bar{x},\bar{y}$ and $r$ respectively ?
- $\dfrac{20}{3},\dfrac{35}{9},-0.5$
- $\dfrac{20}{3},\dfrac{35}{9},0.5$
- $\dfrac{35}{9},\dfrac{20}{3},-0.5$
- $\dfrac{35}{9},\dfrac{20}{3},0.5$