If this is a data frame Cust I'd. Consumer spending. Area Sales made 1. 1$100-$200. Urban. 1 2 $200-$300. Suburban. 0 3. $300-$400. Suburban. 1 . . . . . . . . . . . .
Then on doing modelling through logistic regression On applying glm function after splitting it for train and test We apply summary(remodel) On running this command I am getting the column Consumer Spending like this: Estimate. StdError. zvalue. Pr Spend Category$100-$200 Spend Category $200-$300 Spend Category $300-$400 Why this column Consumer Spending is split like this ? how will I check on applying remodel <- glm( SaleMade ~. , data = rdtrain ,family = binomial ) How will I check the effect of consumer spending as it is split into many parts as above in summary