A retail company wants to understand the customer purchase behavior (specifically, purchase amount) Undertake a descriptive analysis of the variables(purchase, age, city category, customer gender, marital status) in the data and suggest the best ways you can use to build a linear regression model to predict the purchase amount.

\f\f> summary_of_continuous_variables_in_the_dataset data_purchase_behaviour . Purchase Min. 12 1st Qu. : 5828 Median : 8044 Mean 9270 3rd Qu. : 12059 Max. : 23961 data_purchase_behaviour. Stay_In_Current_City_Years Min. : 0. 000 1st Qu. : 1.000 Median :2.000 Mean :1. 856 3rd Qu. : 3.000 Max. : 4.000 data_purchase_behaviour . Age_num Min. : 10. 00 1st Qu. : 27 .00 Median : 33.00 Mean : 34 . 81 3rd Qu. :42.00 Max. :75 . 00