Home
Mac Package - StatPlus:mac
Buy StatPlus
Buy StatPlus:mac
StatPlus 2007 Professional Help Prev Page Prev Page
StatPlus
License agreement
Support
What's New
Getting started
Loading program
Using Keyboard
Entering Data
Editing Data
Statistics
Analyzing Data
Bibliography
Elementary Concepts
Basic Statistics
Descriptive Statistics
Comparing Means
One Sample T-Test
F-Test Two-Sample for Variances
Linear Correlation (Pearson)
Fechner Correlation
Covariance
Normality Tests
Frequency Tables
Cross Tabulation
ANOVA
One-way ANOVA
Two-way and Three-way ANOVA
GLM ANOVA
Latin Squares Analysis
Regression
Linear Regression
Polynomial regression
Stepwise Regression
Binary logistic regression
Cox proportional-hazards regression
Nonparametric statistics
2x2 Tables
Rank Correlations
Comparing two independent samples
Comparing multiple independent samples
Comparing two dependent samples
Comparing multiple dependent samples
Cochran Q Test
Time Series/Forecasting
Autocorrelation and Partial AC
Moving Average
Interrupted Series Analysis
Survival Analysis
Cox proportional-hazards regression
Probit analysis
Charts
Control Charts
Tutorial On Chart Building
Function Reference
All Functions
Math
General
Statistical
Financial
Customizing StatPlus
General
View
Saving
Add-ons
Other
About AnalystSoft

Purpose

    The Moving Average procedure projects values in the forecast period, based on the average value of the variable over a specific number of preceding periods. A moving average provides trend information that a simple average of all historical data would mask. Use this tool to forecast sales, inventory, or other trends.
 

Preparations

    Run Statistics→Time Series/Forecasting→Moving Average....

Results

Each forecast value is based on the following formula:

Fj = Aj / N
where

  • N  — is the number of prior periods to include in the moving average
  • Aj — is the actual value at time j
  • Fj — is the forecasted value at time j

    Standard deviations are showed in the second column

    Also, the diagram with forecasted and actual values are showed.