Exhibit 1: Business at Terry's Tie Shop can be viewed as falling into three distinct seasons: (1) Christmas (November-December); (2) Father's Day (late May - mid-June); and (3) all other times. Average weekly sales (in $'s) during each of these three seasons during the past four years has been as follows: Season Year 1 Year 2 Year 3 Year 4 1 1756 1995 1912 2168 2241 2280 2306 2408 3 885 1072 1105 1120 Run linear regression on the data and estimate beta coefficients and the intercept of the following forecasting model with trend and seasonality. Ft=b0+b1*S1t + b2*S2t+b3*t where S1t and S2t represent data from season 1 and season 2 respectively and t represents the sequential time period. Exhibit 1 Information ends here*** What is the forecast for year 5 season 1 using exhibit1 information? 2397 1664 2417 2475