To fit a new multiple regression model with dummy variables for weekdays $($not the weekend$),$ and to provide the regression equation $($d $=$ a$*$t $+$ b$1$x$1+$ b$2$x$2+$ b$3$x$3+$ b$4$x$4+$ b$5$x$5+$ b$6$x$6+$ c$),$ along with Adjusted R$2.$

To use all three models:

$$ M$1$: d $=1\mathrm{.}0356$t $+339\mathrm{.}29$

$$ M$2$: d $=0\mathrm{.}7163$t $+116\mathrm{.}7679$w $+315\mathrm{.}0262$

$$ M$3$: $($the one considering weekdays$)$

to predict the demand for seven days ahead $($Mon$,$ Tue, $...,$ Sun$)$ and find the total weekly demand.

Take advantage of the fact that new demand data became available and use this new data to compare the forecasts using MAPE for days $57-63.$

To provide a line chart with the actual demand $($including the new data$)$ and M$2$ and M$3.$

To choose the best model for forecasting daily demand at Orchid Relief for $7$ days ahead and write a short paragraph explaining your choice.

Note: this paragraph can be on page $2.$ The answers to previous questions must all fit on the first page.