Mcqs (regression and correlation)
Download as PPTX, PDF2 likes1,440 views
This document contains 24 multiple choice questions regarding regression and correlation. The questions cover topics such as calculating regression lines, coefficients of correlation, determining if relationships between variables would be positively, negatively or not correlated, interpreting regression coefficients, and properties of correlation coefficients such as their range of values and how they are affected by changing scales or origins. The answers to each question are provided at the end.
Mcqs (regression and correlation)
- 1. MCQs (Regression and Correlation) NADEEM UDDIN ASSOCIATE PROFESSOR OF STATISTICS https://www.slideshare.net/NadeemUddin17 https://nadeemstats.wordpress.com/listofbooks/
- 2. 1- Suppose X is the number of days on a diet and Y is weight loss in pounds where n = 4 , x = 20 , x2 = 110 , xy = 132 , y = 24 , y2 = 162 the regression line Y on X will be. a. 1.20x b. 1.5x c. 2.5x d. None 2- For 25 pairs of values the following computation were made. x = 125 , y = 100 , xy = 536 , X2 = 650 , Y2 = 464 the Coefficient of Correlation ‘r’ is . a. 0.99 b. 0.9 c. 1.5 d. None 3- If byx = 0.61 and bxy = 1.36, then coefficient of correlation is a. 0.5 b. 0.91 c. 0.25 d. None 4- If regression coefficient y on x is – 1.32 and X on y is – 0.63 . the coefficient of correlation between x and y will be a. .85 b. 0.36 c. -0.45 d. -0.91
- 3. 5- Given ; r = 0.87 and d = 0.78 then b would be. a. 0.98 b. 1.0 c.0.55 d. None 6- Given ; r2 = 0.8 and b = 2.24 then d would be. a. 0.25 b. 0.36 c. 1.2 d. None 7- If Sxy = 20.9375 , Sx = 1.36 , Sy = 15.77 . then Correlation would be a. 0.36 b. -0.98 c. 0.98 d. None 8- If Sxy = 167.5 . S2 x = 14.71 , S2 y = 1990 , find b , d and correlation. a. 12,2,0.55 b. 12.5,0.84,0.98 c. 2,3,0.5 d. 11.39,0.084,0.98 9- If r = 0.8626 , Sy = 49.64 , Sx = 31.15 , find b and d. a. 0.53 , 1.41 b. 0.6,1.14 c. 0.7,2.14 d. None
- 4. 10- What will be the value of standard error if all the observed values fall on regression line. a.0 b. negative c. 1 d. None 11- State whether you would expect a positive, negative, or no correlation in Shoes size and IQ a. No correlation b. negative correlation c. positive correlation d. None 12- State whether you would expect a positive, negative, or no correlation in the weight of the load of trucks and their petrol consumption a. No correlation b. negative correlation c. positive correlation d. None 13- State whether you would expect a positive, negative, or no correlation in the age of husbands and wives a. No correlation b. negative correlation c. positive correlation d. None
- 5. 14- State whether you would expect a positive, negative, or no correlation in the amount of rubber on tires and the number of miles they have been driven. a. No correlation b. negative correlation c. positive correlation d. None 15- The limit of correlation is a. -1 to +1 b. 0 to 1 c. 1 to 2 d. None 16- The geometric mean of the regression coefficients is a. No correlation b. correlation c. 1 d. None 17- Correlation is unaffected by the change of a. origin b. scale c. origin and scale d. all 18- If the relationship between the two variables is directly proportional then the correlation would be a. zero b. ± ve c. -ve d. +ve
- 6. 19- If the relationship between the two variables is inversely proportional then the correlation would be a. zero b. ± ve c. -ve d. +ve 20- If the correlation coefficient is zero then the variables are a. zero b. random c. -ve d. +ve 21- The regression line y = a + bx, where b is a. zero b. random c. y- intercept d. slope 22- The regression line y = a + bx, where a is a. zero b. random c. y- intercept d. slope 23. If b and d are positive, then ‘r’ will be a. zero b. positive c. negative d. slope
- 7. 24- If b and d are negative, then ‘r’ will be a. zero b. positive c. negative d. slope 1-a 5-a 9-a 13-c 17-c 21-d 2-b 6-b 10-a 14-b 18-d 22-c 3-c 7-c 11-a 15-a 19-c 23-b 4-d 8-d 12-c 16-b 20-b 24-c Answers