A Cape Cod restaurant is using regression analysis to forecast the demand for temporary employees during the 2023 summer season. They have collected data on the following variables for the years 2000 - 2019 (they didn't collect data for 2020 -22 because Covid-19 had an impact on "normal travel" then). The equation they used was: Y = 8.25+ 0.2*hotel occupancy+0.15* sunny days +0.1 parking where hotel occupancy = percent of area hotel rooms rented in August sunny days = # of sunny days in July and August, and parking = percent of town-sponsored parking spaces filled on average Saturday if the local Chamber of Tourism forcasts that 85% of the hotel rooms will be booked in August and that 80% of the parking spaces will be taken, and the weather forecaster predicts that there willl be 45 sunny days in July and August, how many temporary employees should the restaurant hire? Hint: for the percent data, enter a whole number. For example, enter 80, not .8. Add your answer Integer, decimal, or E notation allowed