$\backslash$table$[[$Week$,$Day,Number$],[1,$M$,29],[,$T$,11],[,$w$,15],[,$TH$,16],[,$F$,24],[2,$M$,26],[,$T$,11],[,$w$,13],[,$TH$,13],[,$F$,27],[3,$M$,31],[,$T$,14],[,$w$,14],[,$TH$,14],[,r,20],[4,$M$,26],[,$T$,14],[,$w$,17],[,$TH$,17],[,$F$,23],[5,$M$,25],[,$T$,10],[,$w$,19],[,$TH$,18],[,$F$,24]]$

$(8)$ Solve for the forecast equation that minimizes the sum of squared error:

$x_1=1$ If Monday, $0$ otherwise; $x_2=1$ If Tusaday, $0$ otherwise; $x_3=1$ I$/$ Wednesday, $0$ otherwise; $x_4=1$ If Thursday, $0$ ocherwise.

hat$({)}_{}=$

$($b$)$ Forecast the five days of Week $6.$

Week $6$ Monday forecast $q,$ calls

Week $6$ Tuesday forecast calls

Week $6$ Wednesday forecast calls

Wask $6$ Thareday forecaut $q,$ calls

Week $6$ Fridby furecast

calls