The table below shows annual demand (in 100,000 units per year) for Widgets. Use this information to calculate a linear trend forecasting model using regression analysis. Use your trend estimate to forecast demand for the years 1995 and 2000.

Year Demand
1990 1
1991 4
1992 5
1993 8

Being as my profession decides to spring questions on us that he hasn't taught, I'm at a loss on how to approach this problem, let alone solve it.
Any help is greatly appreciated.

The regression equation is Y=-1+2.2t
where Y=the output and t is the time. Hence the demand for1995 is
Y=-1+(2.2).6=-1+13.2=12.2=12(approx.)
the demand in 2000 is
Y=-1+(2.2).11=-1+24.2=-1+24.2=23.2=23 (approx.)

To calculate a linear trend forecasting model using regression analysis, we first need to determine the equation of the trend line. In this case, the equation is given as Y = -1 + 2.2t, where Y represents the demand and t represents the time.

To forecast the demand for the years 1995 and 2000, we need to substitute the respective values of t into the equation.

For 1995, we have t = 1995 - 1990 = 5. Substituting the value of t into the equation:

Y = -1 + 2.2(5)
Y = -1 + 11
Y = 10

Therefore, the forecasted demand for 1995 is 10 (in 100,000 units).

For 2000, we have t = 2000 - 1990 = 10. Substituting the value of t into the equation:

Y = -1 + 2.2(10)
Y = -1 + 22
Y = 21

Therefore, the forecasted demand for 2000 is 21 (in 100,000 units).