Business Statistics and Research Methods MCQs

The following are the estimated regression equations for x and y variables. x = 0.85y y = 0.89x With this information, the value of the coefficient of correlation would be

Which of the following is not a measure of central tendency

Laspeyre's index is based on

A hypothesis test is being performed for a process in which a type I error will be very costly, but a type II error will be relatively inexpensive and unimportant. Which of the following would be the best choice for alpha (α) in this test?

Which of the following is odd one out with regard to 'measure of dispersion'?

Average value of -4, -3, 0, 3, 4 will be

Which of the following statements are true? 1. The coefficient of rank correlation has the same limits as the Karl Pearson's coefficient of correlation. 2. The coefficient of correlation is independent of the change of origin but not of scale. 3. The covariance between $$X$$ and $$Y$$ is defined as $$\frac{{\sum {xy} }}{n}$$ where, $$x = \left( {X - \overline X } \right),y = \left( {Y - \overline Y } \right)$$ and $$n = $$ no. of paired observations. 4. $${b_{xy}}$$ is called regression coefficient of $$X$$ variable on $$Y$$ variable. 5. If $${b_{xy}}$$ is 0.4 and $${b_{yx}}$$ is 1.6, coefficient of determination would be 0.8. Select the correct answer:

If the dependent variable increases as the independent variable increases in an estimation equation, the coefficient of correlation will be in the range

If the two regression coefficients are 0.8 and 0.2, then the value of coefficient of correlation is