im using r script to solve the following questions & would love some help. "houseprices" is the name of a data file. i really only need help on how to find solve the question, not the answer itself

HousePrices data set is a cross-sectional data set on house prices and other features, e.g., number of bedroom, of houses in Windsor, Ontario. The data were gathered during the summer of 1987. Use the HousePrices data to perform the following tests using Linear Regression settings: i. Construct a summary stat for all the variables in the HousePrices data. (provide Mean, Median, Max, Min, and Std Dev of the data for all variables) ( 5 points) ii. What is the percentage of houses in the data with Driveway, Gas-Heat and Air-conditioning present? (Hint: find the mean after creating dummy variables with driveway, gasheat, and aircon variables respectively). ( 5 points) iii. Construct a linear regression model to test whether number of bedrooms influence house prices. Provide a summary of the linear regression model using summary() function. (10 points)