RESEARCH METHODOLOGY

METHODS OF RESEARCH

PRACTICAL RESEARCH

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Which measures relationship between two variables
A
T-test
B
Pearson’s R
C
Analysis of Variance (ANOVA)
D
Multiple Regression
Explanation: 

Detailed explanation-1: -The Pearson correlation coefficient (r) is the most common way of measuring a linear correlation. It is a number between –1 and 1 that measures the strength and direction of the relationship between two variables. When one variable changes, the other variable changes in the same direction.

Detailed explanation-2: -Pearson correlation (r), which measures a linear dependence between two variables (x and y). It’s also known as a parametric correlation test because it depends to the distribution of the data. It can be used only when x and y are from normal distribution. The plot of y = f(x) is named the linear regression curve.

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