PreliminariesInitial scanning of the data set reveals that it contains three types of data as listed belowa) Nominal – Online and district; b) Ordinal- Income & Age, and c) atio- !en"re & #rofits$ Approach%ince some of the data points are missing, we have deleted the entire data set pertaining to that data point$ !his has red"ced over all sample sie to ''(* incl"ding '+ for online and +(+ for non-online c"stomer gro"ps .aro"nd ((/)$ Descriptive Statistics an !istogram o" Count o" Age #rt $nline Customers%
Analysis% 0irst, simple regression models of profit, with each of the independent variables i$e$ Age, income, ten"re, Online1Not Online and 2istrict .3sing two d"mmy variables) was attempted$ It was fo"nd that Income, Age, !en"re and 2istrict '44 have positive relationship with profitability$ Also, the regression model of profit vers"s online1offline shows that online c"stomers are 5 .%lope in this model) more profitable than offline c"stomers$ 6"t the t-stat val"es when we carry o"t the two tailed tests gives a # val"e greater than 4$4 which is needed for significance$ %o this model is not significant$
Suare A.uste S / value Co"" Intercept Coe"" ariale t Stat ariale ariale P val ariale
After After this, we carried carried o"t step#ise regression considering the independent variables$ :e concl"de that the profitability is correlated with ten"re, income and age .Other variables t"rn o"t to be insignificant in the t test)$ !he ' val"e wor
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