Regression model to predict student's grade in R

#1

Please I need your help!

I have data for 2017 with the folowing variables:

Age : Numeric

Gender : Gender Value M=Male, F=Female, X=Indeterminate/Intersex/Unspecified

Postal Postcode : Numeric Code

Residential postcode : 1 = Major Cities, 2 = Inner Regional,3 = Outer Regional, 4 = Remote and 5 = Very Remote Socio-Economic: *0-99 where 0 is low Socio-Economic and 99 is high *

School Code : Numeric Code

Educational attainment of first parent : Numeric

Educational attainment of second parent : Numeric

Grade : Numeric between 0 and 100

I would like to training on 2017 data to predict student's grade in 2018 (for example, if we have a student got grade 80 and in 2018 we have a student with the same variables or very similar so the predicted grade should something close to 80)

0 Likes

#2

What have you tried so far? what is your specific problem?
Could you please turn this into a self-contained REPRoducible EXample (reprex)? A reprex makes it much easier for others to understand your issue and figure out how to help.

If you've never heard of a reprex before, you might want to start by reading this FAQ:

Also, this looks like a homework question, if that is the case, please make sure to follow our homework policy

2 Likes

closed #3

This topic was automatically closed 21 days after the last reply. New replies are no longer allowed.

If you have a query related to it or one of the replies, start a new topic and refer back with a link.

0 Likes