RESEARCH METHODOLOGY

Detailed explanation-1: -This type of correlational research design obtain score from two variables for each subject, and then uses them to calculate a correlational coefficient. All variables in the study can contribute to the overall prediction in an equation that adds together the predictive power of each identified variable.

Detailed explanation-2: -Regression allows researchers to predict or explain the variation in one variable based on another variable. Definitions: ❖ The variable that researchers are trying to explain or predict is called the response variable. It is also sometimes called the dependent variable because it depends on another variable.

Detailed explanation-3: -Two criterion are used to achieve the best set of predictors; these include meaningfulness to the situation and statistical significance.

Detailed explanation-4: -Multiple linear regression (MLR), also known simply as multiple regression, is a statistical technique that uses several explanatory variables to predict the outcome of a response variable.

Detailed explanation-5: -In prediction studies, multiple regression makes it possible to combine many variables to produce optimal predictions of the dependent variable. In causal analysis, it separates the effects of independent variables on the dependent variable so that you can examine the unique contribution of each variable.