The data for this question is in the Excel file sheet Q$9$ SI Study Data and is an extract $(100$ samples$)$ of the data from a research study on the factors that affect Strategy Implementation $($SI$).$ The variables $($Y$,$ X$1$ to X$3)$ are as follows $($variable names are in italics$)$;Y $=$ the composite score for strategy implementation. X$1=$ Organisation size, which is the number of employees $($Log value$).$ X$2=$ Score for Intelligent Reward System, which is a reward offered to implementation managers as they implement the organisations strategy.X$3=$ Organicity Index, which a score on how the organisation is structured $($organic or mechanistic structure$).$ Higher scores represent highly organic structured organisation. NOTE: If you use Excel, please present and label all the results of the excel file; if you use SPSS$,$ please copy and paste results in the excel file. Ensure your presentation of results is very clear to your reader. a$)$Undertake Correlation analysis $($you can use Excel or SPSS$)$ for this data and comment on the correlation between the sets of bivariate correlations.$(10$ marks$)$b$)$Using strategy implementation as dependent variable and Organisation size, Intelligent Reward System, and Organicity Index as independent variables, undertake a regression analysis of the data. $(10$ marks$)$c$)$Comments on the results in terms of the F$-$test, the R$-$square and the statistical significance of the variables coefficients. $(15$ marks$)$d$)$Report your results in a tabular form. $(5$ marks$)$e$)$Report your results as an equation that can be used to forecast Strategy Implementation. Which variable should not be included in the equation and why?