Question 138733
(a) In correlation analysis, we calculate the correlation coefficient which is a measure of the degree of covariablity between X and Y

(a) Regression analysis is done to study the nature of relationship between X and Y so that we may be able to predict the value of one on the basis of the other

(b) The correlation coefficient measures and reveals the degree of covariablity between X and Y. It indicates the strength of relationship between X and Y.

(c) A correlation coefficient of ± 1 Þ a perfect positive/negative correlation between X and Y. A zero coefficient Þ no correlation. Higher the value of r, stronger is the correlation between X and Y.

(d) The sums needed are: å xy, å x^2 and å y^2, where x = (X – Xbar) and y = (Y – Ybar)

(e) The two methods are: (a) t- test and (b) Z- test.

Hope this helps