Forecasting made easy with SPSS Statistics

Forecasting with time series analysis has been used in both the public and commercial sectors for decades.  Example applications include:

  • Forecasting passenger numbers at ferry and airport terminals
  • Estimating inbound call volumes to contact centres
  • Predicting the load on information networks based on shift patterns and external events
  • Using weather data to estimate visitor numbers at key attractions

In just one hour we will cover:-

  • The principles of time series forecasting
  • Visualising time series
  • Defining periodicity
  • Using exponential smoothing methods
  • Interpreting model fit
  • Incorporating predictor fields to improve forecasting accuracy
  • Generating forecasts

Who should watch this webinar?

  • Anyone who is interested in using the data they have to forecast the future
Complete your name and email to access this.
I consent to my data being handled in line with Smart Vision's privacy policy
Download your free copy of our Understanding Significance Testing white paper
Subscribe to our email newsletter today to receive updates on the latest news, tutorials and events, and get your free copy of our latest white paper.
We respect your privacy. Your information is safe and will never be shared.
Don't miss out. Subscribe today.
WordPress Popup Plugin
Scroll to Top