How to Interpret the Regression Table exercise question 3
Hello guys! Can please someone explain to me why the answer to the below question is this?
Its from the course "advanced statistical methods in python, lecture " How to Interpret the Regression Table".
Its from the course "advanced statistical methods in python, lecture " How to Interpret the Regression Table".
1 answers ( 0 marked as helpful)
Hi Vasiliki,
The regression output where we will base our estimation is as follows:
The values to consider are 0.275 for constant and 0.0017 for regression coefficients. However, the question says we assume that coefficient with a p-value greater than 0.05 is not significantly different from 0, in other words, disregard it. The p-values in the table are those under column P>ltl. So we have to disregard the 0.2750 since its p-value is 0.503. Hence, our estimation for SAT score 1850 is
GPA = 0.0017*1850 which is equal to 3.145.
Hope this helps.
Best,
The 365 Team
The values to consider are 0.275 for constant and 0.0017 for regression coefficients. However, the question says we assume that coefficient with a p-value greater than 0.05 is not significantly different from 0, in other words, disregard it. The p-values in the table are those under column P>ltl. So we have to disregard the 0.2750 since its p-value is 0.503. Hence, our estimation for SAT score 1850 is
GPA = 0.0017*1850 which is equal to 3.145.
Hope this helps.
Best,
The 365 Team