Problem 1: Student Loan Debt All answers should be given in full sentences. All calculations should be shown in the project. Graphs should be done in Excel and incorporated into the project with axis properly labeled. Problem 1: Regression of Debt data For this project you will be asked to analyze two different sets of data. One set of data shows the change in total student debt and the other shows the change in average student debt over time. You should formulate a regression equation for each set of data. You must model one set of data using linear regression and the other using exponential regression. There is no correct answer, however, you must justify why you chose to model the data as an exponential or a linear equation. This justification must be in the form of a complete sentence, preferably several sentences. Your project should contain the graphs showing the regression line. Label the graphs with title and axis labels. For the linear state in full sentences the slope the y-intercept and the meaning of both in context. For the exponential function state in full sentences the y-intercept and the growth rate and the meaning of both in context. Using your models: 1) predict in what year student loan debt will reach 1.5 Trillion dollars. 2) Predict with average student debt will reach $35,000. Problem 2: Student Loan Payoff calculation Problem 1: Student Loan Debt All answers should be given in full sentences. All calculations should be shown in the project. Graphs should be done in Excel and incorporated into the project with axis properly labeled. Problem 1: Regression of Debt data For this project you will be asked to analyze two different sets of data. One set of data shows the change in total student debt and the other shows the change in average student debt over time. You should formulate a regression equation for each set of data. You must model one set of data using linear regression and the other using exponential regression. There is no correct answer, however, you must justify why you chose to model the data as an exponential or a linear equation. This justification must be in the form of a complete sentence, preferably several sentences. Your project should contain the graphs showing the regression line. Label the graphs with title and axis labels. For the linear state in full sentences the slope the y-intercept and the meaning of both in context. For the exponential function state in full sentences the y-intercept and the growth rate and the meaning of both in context. Using your models: 1) predict in what year student loan debt will reach 1.5 Trillion dollars. 2) Predict with average student debt will reach $35,000. Problem 2: Student Loan Payoff calculation