Question

REGRESSION STATISTICS Multiple R 0.384 R Square 0.148 Adjusted R Square 0.128 Standard Error Observations 132 4.008 F ANOVA SS 356.275 2056.354 2 412.629 Significance F 0 Regression Residual Total MS 118.758 16.065 3 128 131 7392 its Standard Error 28.191 3.501 -0.118 -0.725 0.346 2.489 0.774 Intercept No. of Units Sleep per night Gender (Male 1, Female 0) 0.151 tStat 8.052 -0.783 -2.097 3.214 P-value 4.86E-13 0.435 0.038 0.002 Lower 95% 21.263 -0.417 -1.409 0.957 pper 95% Lower 95.0% Upper 95.0% 35.118 21.263 35.118 0.18 -0.417 0.18 -0.041 -1.409 -0.041 4.021 0.957 4.021

Multicollinearity matrix table:

please state a summary position on multiple regression GPA statement

*ideas to possibly include: external factors, demographic, emotional measures*

Try to keep in mind to articulate your reasoning for the models/variables, state the ways the results support and or do not support your thinking, any type of conclusion regarding the outcome