can somebody please help me solve problem 2 . And copy the r codes.

2. The text file "carseats2.txt" is a data set containing sales of child car seats at different stores. It consists of following variables. HighSales: Yes and No indicating whether the store belongs to high sale store category Price: Price company charges for car seats at each location. US: A factor with levels No and Yes to indicate whether the store is in the US or not. a) Fit a logistic regression model to predict the probability of the store belongs to high sale store category using Price variable. Report summary() result. (Hint: Use HighSales as response variable and Price as explanatory variable in the model.) b) Provide an interpretation of the estimated coefficient for Price variable c) For a store charging 100 for the car seat, what is the predicted probability of the store belongs to high sale store category?d) Fit a multiple logistic regression model to predict the probability of the store belongs to high sale store category using Price and US variables. Report summary() result. e For a store located in US and charging 100 for the car seat, what is the predicted probability of the store belongs to high sale store category? f) For a store located outside US and charging 100 for the car seat, what is the predicted probability of the store belongs to high sale store category