Create a correlation matrix of the variables into a new sheet named 'Correlation Matrix'. $(2$ marks$)$

Identify the variable$($s$)$ that can be eliminated based on the correlation matrix. The business requirement is to go with variables with the least collinearity. Due to this restriction, consider a correlation of $0\mathrm{.}28$ or more for insignificant variables. Highlight the variable$($s$)$ to be eliminated in red on the sheet. $(3$ marks$)$

Create a new sheet named $\text{'}$SR$\_$Significant' and paste the columns with the significant data into the sheet. $(1$ mark$)$

Standardise the values to increase the efficiency of the model. Update the $\text{'}$SR$\_$Significant' sheet to show the standardised values along with mean and standard deviation. $(2$ marks$)$

Create a sheet named 'Regression' to depict the final regression output using the $\text{'}$SR$\_$Significant' variables. $(1$ marks$)$

Based on the regression output, suggest which variables should FreeCell focus more on as compared with the others, based on the coefficients.