MCQ Class 11 Economics Chapter 6 Correlation CBSE Board Advertisement Statistics for Economics 1. What does a correlation coefficient of –1 represent?Perfect negative correlationPerfect positive correlationZero correlationWeak positive correlationQuestion 1 of 202. Which measure of correlation is affected by extreme values more than Spearman's rank correlation?Scatter diagramKarl Pearson's coefficientRank correlationNone of theseQuestion 2 of 203. What is the main purpose of using the step deviation method?To increase the number of observationsTo eliminate all negative valuesTo simplify calculationsTo calculate the medianQuestion 3 of 204. Which property of the correlation coefficient is used in the step deviation method?It changes with every observationIt depends on unitsIt is always positiveIt is unaffected by change of origin and scaleQuestion 4 of 205. Who developed Spearman's rank correlation coefficient?C.E.SpearmanKarl PearsonAdam SmithAlfred MarshallQuestion 5 of 206. In which situation is Spearman's rank correlation particularly useful?When all variables are measured preciselyWhen variables cannot be measured preciselyWhen there is only one observationWhen there is no relationship between variablesQuestion 6 of 207. Which of the following is an example of an attribute that cannot be measured numerically?IncomeWeightHonestyHeightQuestion 7 of 208. What does the letter D represent in Spearman's rank correlation formula?Total incomeDifference between two variablesMean deviationDifference between the ranks assigned to two variablesQuestion 8 of 209. What does n represent in Spearman's rank correlation formula?Number of observationsNumber of variablesNumber of deviationsNumber of averagesQuestion 9 of 2010. What is the formula for Spearman's rank correlation coefficient when ranks are not repeated?(r=1-frac{D}{n})(r_s=1-frac{6sum D^2}{n^3-n})(r=frac{sum XY}{N})(r=1+frac{6sum D^2}{n^3-n})Question 10 of 2011. What is done when ranks are repeated in Spearman's rank correlation?Repeated ranks are ignoredAll observations are removedCorrection factors are appliedThe correlation coefficient is always zeroQuestion 11 of 2012. How is a common rank assigned to repeated items?By assigning the highest rankBy assigning the lowest rankBy ignoring the repeated itemsBy taking the mean of the ranks they would have occupiedQuestion 12 of 2013. Which method can be used to examine non-linear relationships visually?Scatter diagramArithmetic meanStandard deviationStep deviation methodQuestion 13 of 2014. Why should Karl Pearson's coefficient not be used for a non-linear relationship?It always gives a positive valueIt can give misleading resultsIt cannot be calculated for positive valuesIt measures only ranksQuestion 14 of 2015. What is the relationship between years of farmers' schooling and annual yield per acre in the given example?Negative correlationZero correlationPositive correlationPerfect negative correlationQuestion 15 of 2016. What is the value of the correlation coefficient between price index and money supply in the given example?0.300.64–0.980.98Question 16 of 2017. What does a correlation coefficient of 0.1 indicate?Weak positive correlationStrong positive correlationPerfect positive correlationPerfect negative correlationQuestion 17 of 2018. What does a correlation coefficient of –0.9 indicate?Weak negative correlationStrong negative correlationPerfect positive correlationZero correlationQuestion 18 of 2019. Does correlation necessarily imply a cause-and-effect relationship?Yes, alwaysOnly in positive correlationNo, correlation does not imply causationOnly in negative correlationQuestion 19 of 2020. Which statement correctly describes the conclusion of correlation analysis?Correlation measures only causationCorrelation is used only for qualitative variablesCorrelation always indicates a perfect relationshipCorrelation gives an idea about the direction and intensity of change between related variablesQuestion 20 of 20 Loading...
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