Question from digital marketing

Phillips, a micro-entrepreneur, is planning to open a local store in Windham. He is considering borrowing money to fund his start-up store from a crowdlending platform. Phillips knows how the platform determines initiators' (borrowers ) loan interest rates. However, he is not familiar with how initiators' (borrowers ) credit scores are calculated on this platform. He would like to seek some insights about this. ~ You, a student has taken class 1 to 13 of MKTG/BADM 3661, are asked to help Phillips understand the issue. You collect the following data from the crowdlending platform: Variable Definition Iser( initiator's IDe T. project loan listing ID- T. scored initiator's credit score (in points)~] T. initiator's aged t. degreed initiator's education level T. income( initiator's income level, t. times.( the number of initiator's overdue payments t. indicate whether the initiator has a car, 1 = Yes; 0 = Now indicate whether the initiator is a first-time borrower, 1 = Yes; 0 = Now Table 3: Data from Crowdlending Platform Please use the variable notations in Table 3 to answer the following questions.~ 6. Phillips tells you that he has a credit history on this platform. Which variable in the data provides you information regarding whether an initiator has a credit history on this platform? (5 points) ~7. Phillips wants to understand the effect of the number of initiator's overdue payments on their credit scores. You use regression analysis to explore this effect. ~ (1) Which variable in the data is the dependent variable in your regression analysis? (3 points) ~ ttttt (11) Which variable in the data is ONE independent variable that you must include in your regression? (Note: Please write down only one independent variable. Penalty applies to all answers that show more than one independent variable) (2 points) titttt