Practice Test


Q1) Find the equation of the regression line of Y on X, hence find Y when X = 10, given that:
X : 1 2 3 4 5 6
Y : 2 4 7 6 5 6

Show Answer


Q2) Find the equation of regression lines of x on y from the following data:
x : 6 02 10 4 8
y : 9 11 5 8 7
Show Answer


Q3) For a sample of firms the coefficient of correlation between the profit rate (X) and growth rate (Y) is found to be 0.9. Obtain the equation of the regression line of X on Y
X Y
Mean 20 25
Variance 09 25 Show Answer


Q4) The equation of regression line of Y on X is 16y - x = 64 and regression line of X on Y is x - 4y = - 4. Find the means of X and Y. Also find the correlation coefficient between X and Y. Show Answer


Q5) Two samples from bi-variate populations have 15 observations each. The sample means of X and Y are 25 and 18 respectively. The corresponding sum squares of deviations from means are 136 and 148. The sum product of deviations from respective means is 122. obtain the equation of line of regression of X on Y. Show Answer


Q6) For bi-variate 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 Y if variance of X is 9. Show Answer


Q7) The variable whose value is predict using the algebric equation is called the_____ Show Answer


Q8) Measuring the strength or degree of relationship between two variables is called as_____ Show Answer


Q9) Which of the following is true about the two regression coefficients? Show Answer


Q10) Regression coefficient is independent of change of______ Show Answer


Q11) The difference between the observed value and the estimated value in regression analysis is known as______ Show Answer


Q12) The two regression co-efficient are 0.8 and 0.2, hence correlation is Show Answer


Q13) If r < 0, then which of the following is true ? Show Answer


Q14) Which of the following data is consistent ? Show Answer


Q15) The principal involved in obtaining `the lines of best fit' is called the ______ Show Answer


Q16) If two regression lines are given then, we can obtain? Show Answer


Q17) The slope of the regression lines X on Y is Show Answer


Q18) Regression analysis is the theory of __________. Show Answer


Q19) We can estimate the value of one variable with the help of other known variable only if they are ___________. Show Answer


Q20) There are ________ types of regression equations. Show Answer


Q21) In the regression equation of Y on X __________. Show Answer


Q22) In the regression equation of X and Y _________. Show Answer


Q23) Regression analysis is the theory of Show Answer


Q24) We can estimate the value of one variable
with the help of other known variable only
if they are Show Answer


Q25) There are __________ types of regression
equations. Show Answer


Q26) In the regression equation of Y on X Show Answer


Q27) In the regression equation of X on Y Show Answer


Q28) 'r' is Show Answer


Q29) Corr (x, x) = __________ Show Answer


Q30) Corr (x, y) = __________ Show Answer


Q31) Regression equation of X on Y is _______ Show Answer


Q32) Regression equation of Y on X is __________ Show Answer


Q33) Cov (x, y) = __________ Show Answer


Q34) If equations of regression lines are 3 x + 2 y − 26 = 0 and 6 x + y − 31 = 0 then means of x and y are Show Answer


Q35) Corr (x, x) = 1 Show Answer


Q36) Corr (x, y) = Corr (y, x) Show Answer


Q37) ‘r’ is regression coefficient of Y on X Show Answer


Q38) In Regression analysis the variable that is predicted is _________. Show Answer


Q39) If a Regression coefficient is less than 1 then the other should be _______. Show Answer


Q40) The term regression was first used by ________. Show Answer


Q41) ________ refers to analysis of average relationship between two variables to provide mechanism for prediction. Show Answer


Q42) If there are two variables, there can be at most. ________ number of regression lines. Show Answer


Q43) If the regression line is Y on X, then the variable X is known as ________. Show Answer


Q44) Regression line is also called ________. Show Answer


Q45) If the regression line is X on Y, then the variable X is known as _______. Show Answer


Q46) If the regression line is X on Y, then the variable X is known as _________. Show Answer


Q47) If the regression line is Y on X, then the variable X is known as ________. Show Answer


Q48) The point of intersection of two regression lines is _________. Show Answer


Q49) The Correlation coefficient between two variables is the ________ of their regression coefficients. Show Answer


Q50) If the correlation coefficient between two variables, X and Y, is negative, then the regression coefficient of Y on X is _______. Show Answer


Q51) If one regression coefficient is negative, the other is ________. Show Answer


Q52) Regression coefficient is independent of ________. Show Answer