# Practice Test

Q1) A bivariate frequency distribution contains Show Answer

Q2) Objective of Regression Analysis is Show Answer

Q3) State the nature of correlation, for "Sale of Woolen cloth and Temperature". Show Answer

Q4) State the nature of correlation, for "Production of big iron and soot content in Jamshedpur". Show Answer

Q5) State the nature of correlation, for "Sale of soft drinks and temperature". Show Answer

Q6) State the nature of correlation, for "Number of claims and profits of an insurance company". Show Answer

Q7) State the nature of correlation, for "Sale of shoes and rail accidents". Show Answer

Q8) Scatter diagram is used for finding Show Answer

Q9) Scatter diagram is used for finding Show Answer

Q10) When the plotted points lie in a straight line from upper left to lower right then it is Show Answer

Q11) When the plotted points lie from upper left to lower right then it is Show Answer

Q12) Nature of correlation between speed of car and the distance traveled by it after applying the brakes is Show Answer

Q13) To find curvilinear relation the measure used is Show Answer

Q14) When there is None of these casual relation between two variables and the relation is due to third variable then the correlation is Show Answer

Q16) Co-efficient of correlation is Show Answer

Q17) Per capita income and mortality rate have ____________ correlation Show Answer

Q18) Co-efficient of correlation is affected by 'x' measured in cms and 'y' measured in kgs Show Answer

Q19) The value of 'r' has between Show Answer

Q20) r' is affected by shifted of origin Show Answer

Q21) r' is not affected by change of scale Show Answer

Q22) The basic principle of finding regression equations are Show Answer

Q23) The residue incase of regression analysis can be Show Answer

Q24) r = 0.8 the value of co-efficient of determination is Show Answer

Q25) r = - 0.4 the value of unexplained variation is Show Answer

Q26) R = -1 it means that the judges Show Answer

Q27) r is affected if the change of scale differs in sign. Show Answer

Q28) The difference between the actual value and estimated value calculated using regression equal is called Show Answer

Q29) 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? Show Answer

Q30) 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? Show Answer

Q31) When regression lines coincide then r = 0 . Is the statement true or false? Show Answer

Q32) In case of bivariate frequency distribution (m X n), the number of cells are Show Answer

Q33) In case of bivariate frequency distribution (m x n) , the maximum number of marginal frequency distribution are Show Answer

Q34) In case of bivariate frequency distribution (m x n) , the maximum number of conditional frequency distribution are Show Answer

Q35) When r = 1 then the correlation is

Q36) When 1 > r > 0 then the correlation is Show Answer

Q37) When 1 < r < 0 then the correlation is Show Answer

Q38) When r = 0 then in scatter diagrams the points are scattered throughout. Show Answer

Q39) In case of bivariate frequency distribution (m x n) , value in the cannot be Show Answer

Q40) When two regression lines are coincident then Show Answer

Q41) The square root of the product of the regression co-efficient is Show Answer

Q42) High degree positive correlation means Show Answer

Q43) Low degree negative correlation means Show Answer

Q44) The sign value of covariance depends on Show Answer

Q45) Covariance is defined as Show Answer

Q46) Formula for finding concurrent deviation is Show Answer

Q47) 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. Show Answer

Q48) 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. Show Answer

Q49) 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 Show Answer

Q50) Regression coefficient of y on x = 0.8
Regression coefficient of x on y = 0.2
Coefficient of correlation = - 4. given data is