. Use statistical software to fit a linear trend model to the time series described in the previous exercise. Use 1, 2, 3, . . . as the values for the explanatory variable with t = 1 corresponding to January 2000, etc.
(a) Record the equation of the fitted linear trend model.
(b) Interpret the slope in the context of the amount of money held in consumer loans.
(c) Indicate stretches of time when the linear trend model consistently underestimates the amount of money in consumer loans.
Do the same for stretches of time when the linear trend model consistently overestimates the amount of money in consumer
(d) Forecast the amount of money in consumer loans for December 2008 using the linear trend model. Do you expect this forecast to be less than or more than the actual amount of consumer loans for this month? Explain your reasoning.