|Adjusted R Square||0.450141|
|Coefficients||Standard Error||t Stat||P-value||Lower 95%||Upper 95%||Lower 95.0%||Upper 95.0%|
|High School Grad||-0.00133||0.000311||-4.28236||0.000448||-0.00198||-0.00068||-0.00198||-0.00068|
In sentence form, describe the implications of your estimated beta coefficients (i.e. are they significant? what do they tell you about the relationship between that X and the Y?). Be sure to include beta-0, beta-1, and beta-2.
beta0 is signiifcant at 5% level of significance
beta1 is significant at 5% level of significance
p<0.05,beta2 is significant at 5% level of significance
From Global F test
Atleast one of the beta is different from zero
Regression model is significant that is there is a linear relationship between y and independent variables.
Intrepretation of beta1:
for unit increase in High school grad, y decreases by 0.00133 on an average
for unit increase in Bachelor's, y decreases by 0.00016 on an average
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