In case of multiple correlation, the number of variables involved are greater than

Related MCQs

• In case of simple correlation, the number of variables involved are
• In case there is no relation between the variables, value of coefficient of correlation will be:
• When there is perfect correlation, the value of the correlation coefficient is:
• Karl Pearson’s coefficient of correlation method of measuring correlation is
• In case coefficient of correlation is positive, the curve representing the relation will be
• In case, coefficient of correlation is negative, the curve representing the relation will be
• If one of the regression coefficients is greater than 1, then the other must be:
• The relationship between x and y is y = 2x + 1. The correlation between x and y is:
• When the correlation coefficient r = ±1, the two regression lines:
• If b1 and b2 are the regression coefficient of Y on X and that of X on Y respectively and r is the correlation coefficient between X and Y then: