The Unicorn Bank (UB) receives several applications for home loan and home improvement loan. The description of data captured in "Know Your Customer" document is listed below. [6 +2 +3 + 3 = 14) . Customer ID Type of loan (2 types: Home loan and Home Improvement Loan) . Gender (Male, Female) Marital Status (Family, Single, Other) Accommodation Type (Family owned, Other Company Provided, Owned, Rented) Number of years in current address Number of years in current job Monthly salary in INR Balance in savings account in INR 1. Draw three appropriate charts for one categorical, numeric and binary attribute. What insights can be obtained based on these charts? it. Derive one predictive, associative question from the given description which bank might be interested in addressing? lil. If you are asked to develop following two predictive models based on the above mentioned predictor attributes, then what will be the potential target attributes suitable for model building? Multiple linear regression Decision tree iv. Draw simple dataset schema that will be considered for the development of Multiple Linear regression model along with sample record in it The Unicorn Bank (UB) receives several applications for home loan and home improvement loan. The description of data captured in "Know Your Customer" document is listed below. [6 +2 +3 + 3 = 14) . Customer ID Type of loan (2 types: Home loan and Home Improvement Loan) . Gender (Male, Female) Marital Status (Family, Single, Other) Accommodation Type (Family owned, Other Company Provided, Owned, Rented) Number of years in current address Number of years in current job Monthly salary in INR Balance in savings account in INR 1. Draw three appropriate charts for one categorical, numeric and binary attribute. What insights can be obtained based on these charts? it. Derive one predictive, associative question from the given description which bank might be interested in addressing? lil. If you are asked to develop following two predictive models based on the above mentioned predictor attributes, then what will be the potential target attributes suitable for model building? Multiple linear regression Decision tree iv. Draw simple dataset schema that will be considered for the development of Multiple Linear regression model along with sample record in it