Question

how should i run my data when i have 4 categories under 1 policy. should i use dummy variable for each categories or should i average the 4 categories. this is my model export = β + β1adoption rate + β2 policy

Answer 1

Answer :

1. When we run relapse investigation on the off chance that we have all out factor. At that point we need to utilize the spurious variable.
2. Utilizing the normal for straight out information isn't suitable.

For instance :-

1. in the event that we have 1000 perception and straight out factor with classifications little medium huge then we make sham factors.
2. So here you ought to need to make sham factors to run relapse investigation.

NOTE :

figuring normal isn't prefred for all out data.average is definitely not a decent measure for downright information