(Forecasting and forecast error metrics calculation) Suzy Homemaker tried to predict her sleep pattern using two different approaches, FM1=exponential smoothing (with =0.2) and FM2= moving average (N=4). Please complete by filling in the table below. You can add your steps if you like, but please do keep the table format in your response. (Do the rounding to the 2nd place after the decimal point). Day (t) Actual (dt ) Exponential Smoothing (FM1, =0.2) Moving average (FM2, N=4) FM1 (forecasted Hrs) (6pts) Error(et) (2pts) CFE (3pts) FM2 (forecasted Hrs) (6pts) Error(et) (2pts) MAPE (10pts) Tue 8.5 8 Wed 6.5 Thu 7.5 Fri 7.5 Sat 8.5 Sun 8.5 Mon 7.5 Day (t) Actual (dt ) Exponential Smoothing (FM1, =0.2) Moving average (FM2, N=4) FM1 (forecasted Hrs) (6pts) Error(et) (2pts) CFE (3pts) FM2 (forecasted Hrs) (6pts) Error(et) (2pts) MAPE (10pts) Tue 8.5 8 Wed 6.5 Thu 7.5 Fri 7.5 Sat 8.5 Sun 8.5 Mon 7.5 .