Math Problem Statement

The following are historical demand data:

YEAR SEASON ACTUAL DEMAND 2011 Spring 204 Summer 150 Fall 372 Winter 585 2012 Spring 475 Summer 281 Fall 693 Winter 953

Use regression analysis on deseasonalized demand to forecast demand in summer 2013. (Do not round intermediate calculations. Round your answer to the nearest whole number.)

Solution

Ask a new question for Free

By Image

Drop file here or Click Here to upload

Math Problem Analysis

Mathematical Concepts

Time Series Analysis
Seasonal Indices
Linear Regression
Deseasonalization

Formulas

Seasonal Index = Average Seasonal Demand / Overall Average Demand
Deseasonalized Demand = Actual Demand / Seasonal Index
Linear Regression: y = mx + b

Theorems

Linear Regression Theorem
Seasonal Index Calculation

Suitable Grade Level

Grades 10-12