Using the original data set described in the previous question, the restaurant had developed the following equation for forecasting employee needs. Y = 8.25+ 0.2*hotel occupancy+0.15* sunny days +0.1 parking This equation had an adjusted R2 (R-square) of 0.87 An intern suggested that they add two additional years of data (2021 and 2022) to the original set. The resulting equation was: Y= 7.5 + 0.2*hotel occupancy + 0.2* sunny days + 0.15 parking This equation had an adjusted R2 (R-square) of 0.77 Which would you recommend the restaurant use? Neither because they both did not include the 2020 data Indifferent as to which one to recommend, because both have an R-square greater than 50%. The one with the lower R-square, because the R-square needs to be as close to 0 as possible. The one with the higher R-square, becuase the R-square needs to be as close to 1 as possible