You're looking to build a model which identifies the type of person that responded to your marketing campaign and purchased a new smartphone.The data describes your database that recorded your activities.

PrevMarital

TimeNameCarrier AgeResidencePurchIncomeStatusGenderPurchased

Jan 1998BGH T-mob25City3$55,000Married M1

Jan 1998TYRVerizon37Suburb1$66,000SingleF 0

Jan 1998NMMVerizon55City2$68,000SingleF1

Jan 1998EEHSprint25City2$35,000MarriedF1

Jan 1998TSRATT30Suburb5$53,000MingleM0

Jan 1998JERATT58City1$98,000Married M1

Jan 1998LLHSprint45City5$25,000SingleM0

Jan 1998BNRVerizon 47Suburb1$26,000Married F0

Jan 1998MVRATT 25Suburb4$48,000MarriedF1

Jan 1998BKRT-mob22City4$75,000MarriedF1

Jan 1998GSRSprint 40City3$90,600SingleF1

Jan 1998JKRSprint65City1$28,000MarriedM1

Jan 1998MLHVerizon56Suburb6$65,000MarriedM1

Jan 1998ABNATT 30City2$57,000SingleM0

Jan 1998MYRATT 25City1$68,000MarriedF0

"Time" The time when the marketing campaign was run

"Name" Initials of the person that was sent a marketing mailer.

"Carrier"The carrier the person now has for their phone

"Age"Age of the person who received the mailer

"Residence"Where the person lives

"Prev Purch"The number of phones the person purchased in the past 5 years

"Income"Income of the person

"Marital Stat"Marital Status of the person

"Gender"Gender of the person

"Purchased" The target variable (1 if the person purchased a phone, 0 if no)

Results of your regression analysis

Variable T-Statistic

Carrier2.272R^²=.71

Income-3.120F Statistic = 35

Residence1.870Durbin Watson = 1.85

Prev Purch2.051

Marital Stat2.470

Gender1.920

Age1.551

Use the information above (the sample data information and results of your regression analysis to answer the following questions).Simply answers in the space following the question (4 pts each)

1)Is this data cross-sectional or time series?

2) Given the T-Statistics, what variables could you rely on in making a business decision (assuming

you have enough data)?

3) Does your model have a problem regarding missing any important variables (e.g. does it illustrate autocorrelation)? Yes/No

4) What does the R^2 term describe the model. In other words, if someone asked you what the R^2

the term meant, how would you describe it?

5)What does the negative sign for the t-statistic on the Income variable imply?