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.