Question: This question relates to linear regression in Statistics. My question is regarding the target variable (Y) and predictor variable (X). If the predicted value was

This question relates to linear regression in Statistics.

My question is regarding the target variable (Y) and predictor variable (X). If the predicted value was not included in the predictor variable data set, is it still possible to accurately predict the output/target variable?

The context and question is given below:

"A local university would like to describe the linear relationship between the grade point average (GPA) and the starting monthly salary of a graduate with Economics degree from the university."

The question then asked is it appropriate to use the model to predict the starting monthly salary for a graduate with GPA 2.01 and to justify the answer.

However, the GPA = 2.01 is not included in the data set of the predictor variable, e.g. there's 100 data on GPA and monthly salary but within that data set there was no observation for GPA = 2.01 and monthly salary = ?? . Is the linear regression model still able to predict the monthly salary (Y) based on predictive variable, GPA = 2.01?

Thanks!

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