and one dependent variable in your model. Explain the output of the regression analysis.

d$)$ Generate a table displaying the essential regression output parameters for Part A$,$ B$,$ and C$.$ Organize

the rows to encompass all pertinent regression output parameters, and create columns for Part A$,$ B$,$ C$1,$

$C2,$ and $C3.$ Address the following questions:

Is there any enhancement observed in your model as you introduce more variables into the regression

analysis? Which model offers a more effective regression analysis?

e$)$ Utilize the correlation coefficient to assess whether there exists a linear relationship between a

customer's annual income and the number of years of post$-$high school education. Please explain if there

is $($or is not$)$ a linear relationship.

Apply following forecasting approaches for "Outstanding Debt Annual" spreadsheet and find the best

method by comparing Mean Absolute Percentage Error $($MAPE$).$

a$)$ Na$$ve forecast

b$)$ Moving average $($select a random $k$ value$)$

c$)$ Exponential smoothing method with damping factor of $0\mathrm{.}3$

d$)$ Linear trend projection