Practice Test


1) A bivariate frequency distribution contains


2) Objective of Regression Analysis is


3) State the nature of correlation, for "Sale of Woolen cloth and Temperature".


4) State the nature of correlation, for "Production of big iron and soot content in Jamshedpur".


5) State the nature of correlation, for "Sale of soft drinks and temperature".


6) State the nature of correlation, for "Number of claims and profits of an insurance company".


7) State the nature of correlation, for "Sale of shoes and rail accidents".


8) Scatter diagram is used for finding


9) Scatter diagram is used for finding


10) When the plotted points lie in a straight line from upper left to lower right then it is


11) When the plotted points lie from upper left to lower right then it is


12) Nature of correlation between speed of car and the distance traveled by it after applying the brakes is


13) To find curvilinear relation the measure used is


14) When there is None of these casual relation between two variables and the relation is due to third variable then the correlation is


15) Covariance is


16) Co-efficient of correlation is


17) Per capita income and mortality rate have ____________ correlation


18) Co-efficient of correlation is affected by 'x' measured in cms and 'y' measured in kgs


19) The value of 'r' has between


20) r' is affected by shifted of origin


21) r' is not affected by change of scale


22) The basic principle of finding regression equations are


23) The residue incase of regression analysis can be


24) r = 0.8 the value of co-efficient of determination is


25) r = - 0.4 the value of unexplained variation is


26) R = -1 it means that the judges


27) r is affected if the change of scale differs in sign.


28) The difference between the actual value and estimated value calculated using regression equal is called


29) For a bivariate data, the sum of squares of differences between ranks is 69. The number of pairs is 9. What is the Spearman's coefficient of rank correlation?


30) The sum of squares of differences between ranks is found to be 60. The Spearman's coefficient of rank correlation is 0.5. What is the number of pairs in the data?


31) When regression lines coincide then r = 0 . Is the statement true or false?


32) In case of bivariate frequency distribution (m X n), the number of cells are


33) In case of bivariate frequency distribution (m x n) , the maximum number of marginal frequency distribution are


34) In case of bivariate frequency distribution (m x n) , the maximum number of conditional frequency distribution are


35) When r = 1 then the correlation is


36) When 1 > r > 0 then the correlation is


37) When 1 < r < 0 then the correlation is


38) When r = 0 then in scatter diagrams the points are scattered throughout.


39) In case of bivariate frequency distribution (m x n) , value in the cannot be


40) When two regression lines are coincident then


41) The square root of the product of the regression co-efficient is


42) High degree positive correlation means


43) Low degree negative correlation means


44) The sign value of covariance depends on


45) Covariance is defined as


46) Formula for finding concurrent deviation is


47) The co-efficient of correlation between two variables X and Y is 0.8 and their covariance is 20. If the variance of X series is 16, find the standard deviation of Y series.


48) Karl Pearson's coefficient of correlation between two variables x and y 0.28, their co-variance is + 7.6. If the variance of x is 9, find the standard deviation of y series.


49) In a correlation analysis, the values of the Karl Pearson's coefficient of correction and its probable error were found to be 0.90 and 0.04 respectively. Find the value of N


50) Regression coefficient of y on x = 0.8
Regression coefficient of x on y = 0.2
Coefficient of correlation = - 4. given data is


51) Coefficient of correlation (r) between two variables X and Y is + 0.95. What percent variation in X (the dependent variables) remains unexplained by the variance in Y (the independent variable)?


52) Multiply each x value in the table by 2 and 6. Multiply each value of y in the table by 3 and subtract 15. Find the correlation coefficient between two net sets of values.


53) The regression lines are 3x - 2y = 6 and 8x - 3y = 44. Find the correlation co-efficient between x and y. Also find the mean of x and y.