Using Rstudio, generate the associated R outputs using these R commands:

$1.$ install.packages$("$psych$")$

$2.$ install.packages$("$ggplot$2")$

$3.$ library$($readxl$)$

SalesDataset $<-$ read$\_$excel$("$SalesDataset$.$xlsx$")$

$4.$ library$($psych$)$

describe$($SalesDataset$)$

$5.$ library$($ggplot$2)$

ggplot$($SalesDataset$,$ aes$($x$=$SaleType, y$=$QuantitySold, fill$=$SaleType$))+$

geom$\_$boxplot$()+$

labs$($title$=$"Boxplot of QuantitySold by SaleType", x$=$"SaleType", y$=$"QuantitySold"$)+$

Theme$($plot$.$title $=$ element$\_$text$($hjust $=0\mathrm{.}5))$

$6.$ ggplot$($SalesDataset$,$ aes$($x$=$QuantitySold$))+$

geom$\_$histogram$($color$=$"purple", fill$=$"yellow"$)+$

labs$($title$=$"Histogram of QuantitySold", x$=$"QuantitySold", y$=$"Count"$)+$

theme$($plot$.$title $=$ element$\_$text$($hjust $=0\mathrm{.}5))$

$7.$ ggplot$($SalesDataset$,$ aes$($x$=$QuantitySold, y$=$TotalSales, color$=$SaleType$))+$

geom$\_$point$()+$

labs$($title$=$"Scatterplot of Quantity and Sales", x$=$"QuantitySold", y$=$"TotalSales"$)+$

theme$($plot$.$title $=$ element$\_$text$($hjust $=0\mathrm{.}5))$

$8.$ ggplot$($SalesDataset$,$ aes$($x$=$QuantitySold, y$=$TotalCosts, color$=$SalesRep$))+$

geom$\_$point$()+$

labs$($title$=$"Scatterplot of Quantity and Costs", x$=$"QuantitySold", y$=$"TotalCosts"$)+$

theme$($plot$.$title $=$ element$\_$text$($hjust $=0\mathrm{.}5))$

$9.$ model$1<-$ lm$($TotalSales ~ QuantitySold, data$=$SalesDataset$)$

summary$($model$1)$

$10.$ model$2<-$ lm$($TotalCosts ~ QuantitySold, data$=$SalesDataset$)$

summary$($model$2)$