1. Using data in Table 2, respond to the following.

1. Present a graph to observe the behavior of the dat Is there seasonality? Is there a positive or negative trend? Explain based on the graph. (Value: 5% total).
2. Report the values of the intercept and the coefficient of the slope for the linear regression. (Value: 5% total).
3. Use the parameters obtained in the linear regression to calculate the forecast (F_t) for periods 1 to 24. (Value: 5% total).
4. Calculate MAPE, MSE, and MAD for the forecast calculated in part (c). (Value: 5% total).
5. Using the results of part (b), calculate forecast (F_t) for periods 25 to 30. (Value: 5% total).

Table 2. Records of demand for Linear Regression. Period Actual demand [u] Period Actual demand [u] 1 1359 13 426 2 1302 14 459 3 1323 15 462 4 16 411 1305 1332 5 17 429 6 18 468 1356 924 7 19 137 8 864 20 147 9 897 21 153 10 888 22 168 11 900 23 174 12 957 24 131