Consider the following quarterly time series.

Quarter | Year 1 | Year 2 | Year 3 |

1 | 923 | 1,112 | 1,243 |

2 | 1,056 | 1,156 | 1,301 |

3 | 1,124 | 1,124 | 1,254 |

4 | 992 | 1,078 | 1,198 |

- Construct a time series plot. What type of pattern exists in the data?
- Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1 = 1 if quarter 1, 0 otherwise; Qtr2 = 1 if quarter 2, 0 otherwise; Qtr3 = 1 if quarter 3, 0 otherwise.

- Compute the quarterly forecasts for next year based on the model developed in part (b)

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