Describe the type of model being tested. Desoribe the findings in the table Eval

Question

Describe the type of model being tested. Desoribe the findings in the table Evaluate thstatistical significance and describe thcinical meaning from the result table Write your answers in a Word file and submit via the Assignment tab for this week SPSS Coefficients Table 9 For each model, SPSS summarizes the regression equation (abbreviated table) Model 1 Unstandardized Beta Coefficients SE 1215 446 2.727 016 Undergrd GPA 672 200 460 3.364 004 GREVerbal .0031 . .001-I 457.3189 , 006 GRE Quant00067 001113 898 052 0117 005 268 2307 036

Explanation / Answer

Answer:

For the given scenario, the multiple linear regression model is used for the prediction of final score. From the given SPSS table, it is observed that the independent variables or explanatory variables for this multiple linear model are given as undergraduate GPA, GRE verbal, GRE quantitative, and Motivation. The dependent variable or response variable for this model is given as final score. It is observed that the independent variables undergraduate GPA, GRE verbal, and Motivation are statistically significant at 5% level of significance. The independent variable GRE Quantitative is not statistically significant at 5% level of significance because the p-value for this variable is given as 0.052 which is greater than the alpha value 0.05. The final multiple linear regression model is given as below:

Final Score = -1.215 + 0.672*Undergraduate GPA + 0.0031*GRE verbal – 0.00067*GRE Quantitative + 0.0117*Motivation

By using this regression model, we can predict the value for response variable final score.

Also, given SPSS output table describes the standard errors for each of the independent variables and y-intercept for the multiple linear regression model. The y-intercept for the given multiple linear regression model is statistically significant because the p-value associated with this coefficient is given as 0.016 which is less than 5% level of significance or 0.05 alpha value.

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