Problem 1 [1? total points] Weekly sales data for 3 different geographically located stores belonging to a retail chain was collected across the years 2G1C| to 212, along with average temperatures of the week. The retail chain runs several promotional markdown events throughout the year. These markdowns are held during prominent holidays: the three biggest being Labor Day. Thanksgiving, and Christmas. You are interested in how the "holidayr effect" impacts the retail chain's weekly sales. The file Eroblemlxlsx contains historical weeklyr sales data of these 3 stores. The data le has information on the following variables. 1variables Description Store Store number (1, 2 or 3} Date The date (week) Weekly_sales [51} Sales for the given store in the given week Temp (0F) Average temperature in the area where the particular store is located lsHoliday Whether the week is a special holiday week {TRUE - yes: it is a special holiday week, FALSE no, it is not] {a} [3 points) Run a regression using: "Weekly_sales" as dependent variable. "Store", "Temp", and "lsHoliday" as independent variables. Report and interpret the R-square measure [please round the R-square to tour decimal digits] [b] [3 points] Report the estimated intercept and interpret it