$($i$)$ Download the txt file $($ENB$\_2023.$txt$)$ from CloudDeakin and save it to your R working directory.

$($ii$)$ Assign the data to a matrix, e$.$g$.$ using

the.data $<-$ as$.$matrix$($read$.$table$("$ENB$\_2023.$txt$"))$

$($iii$)$ The variable of interest is Y$.$ To investigate Y$,$ generate a subset of num$\_$row$=400($use the same setting

for the following tasks as well$)$ with numerical data e$.$g$.$ using:

my$.$data $<-$ the.data$[$sample$(1$:num$\_$samples,num$\_$row$)$ c$(1$:num$\_$col$)]$

This would give you a new dataset with num$\_$row rows and num$\_$col columns. Values of num$\_$sample and num$\_$col

have to be determined from the data provided.

$($iv$)$Use scatter plots and histograms to understand the relationship between each of the variables X$1$ X$2,$ X$3,$ X$4,$ X$5,$

and your variable of interest Y$,$ i$.$e$.,$ catter plots of $($X$1,$ Y$),($X$2,$ Y$),...,($X$5,$ Y$),$ and histograms of X$1$ X$2,$ X$3,$

X$4,$ X$5,$ Y$.$