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”.
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.
The 365 Team