# Seasonal Decomposition Output - Essay Example

Summary
In the paper “Seasonal Decomposition Output” the author analyzes the market share for local news among four television stations in a large city. During the latest rating period, all of the stations have increased their promotional spots in hopes of gathering more viewers. …

## Extract of sample "Seasonal Decomposition Output"

Download file to see previous pages 1. An insurance company is examining its automobile collision claims in order to understand what factors might contribute to the size of a claim. It analyzes data from 40 claims, including the year and model of the car, the age of the driver, the weather conditions, and other information from the police report. Considering what you have studied so far in BUS 305, suggest an analytical process that would be appropriate for the insurance company to use to predict the size of a claim. Support your suggestion with explanations.
Regression analysis is the most appropriate analytical process that would help predict the size of the claim. The analytical process is appropriate since it estimates the relationship between the variables
2. Exhibit 3 provides time series data. Create a time series plot of this data. In your essay, describe the features you find and explain which of these four forecasting methods—linear trend, nonlinear trend, seasonal decomposition, or simple exponential smoothing—would be best suited for forecasting.
The values of Y exhibit an upward trend i.e. the values have maintained a steady increase thus the linear trend would be more appropriate to be used for the forecasting purposes. The forecasting equation for the linear trend model is given as:
Where  is the time index? The parameters  and  (the "intercept" and "slope" of the trend line) are usually estimated via a simple regression in which Y is the dependent variable and the time index t is the independent variable. ...Download file to see next pagesRead More
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