Third independent variable that is explaining the variance in Y Second independent variable that is explaining the variance in Y (Y), what is being predicted or explainedįirst independent variable that is explaining the variance in Y

OF A MULTIPLE REGRESSION EQUATION Y=a + b 1X 1 + b 2X 2 Explain the practical implications of the findings ELEMENTS Reject or accept the research hypothesis 11. Calculate and examine appropriate measures ofĪssociation and tests of statistical significance for each coefficientĪnd for the equation as a whole 9. Calculate the regression equation from the data 8. Variables with each other (obtain a correlation coefficient matrix forĪll the independent variables) are the independent variables too highlyĬorrelated with one another? 7.

Assess the relationships between all of the independent Obtain a scatter plot) are the two variables linearly related? 6. One at a time, with the dependent variable (calculate the correlation coefficient Assess the relationship of each independent variable, Measures of central tendency and dispersion frequency distributions graphs) Assess each variable separately first (obtain STEPS IN MULTIPLE REGRESSION The steps in multiple regression are basically the Or more independent variables, it is called multiple regression. It is also widely used for predicting the value of one dependent variableįrom the values of two or more independent variables. Value of one dependent variable from the value of one independent variable. Regression is the most widely used type of regression for predicting the Often there may be several possible causes associated withĪ problem and likewise there may be several factors necessary for a solution.Ĭomplex statistical applications are needed which can: -deal with interval and ratio level variables -assess causal linkages -forecast future outcomes

Multiple Regression PPA 696 RESEARCH METHODS

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