Purchase Solution

Forecasting of a Time Series, using Excel

Not what you're looking for?

Ask Custom Question

For this case study we will consider a company that sells cars (Car Dealer). The goal is to decompose the seasonality of the data represented by car sales. Data were collected quarterly for a period of 3 years. Thus, being quarterly data we will consider a moving average of order 4, and for the centering of the moving average we will consider a moving average of order 2.

The attachment includes a table of the data used.

Purchase this Solution

Solution Summary

This Case Study reveals the seasonal decomposition method of a time series. The calculations were performed in EXCEL.

Solution provided by:
Education
  • BSc, University of Bucharest
  • MSc, Ovidius
  • MSc, Stony Brook
  • PhD (IP), Stony Brook
Recent Feedback
  • "Thank you "
  • "Thank You Chris this draft really helped me understand correlation."
  • "Thanks for the prompt return. Going into the last meeting tonight before submission. "
  • "Thank you for your promptness and great work. This will serve as a great guideline to assist with the completion of our project."
  • "Thanks for the product. It is an excellent guideline for the group. "
Purchase this Solution


Free BrainMass Quizzes
Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.

Know Your Statistical Concepts

Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.