| Prerequisites | Familiarity with SPSS, including: variable type and definition, entering and editing data, opening and saving data files, generation of basic exploratory statistics (including frequency tables and cross-tabulations). The understanding of Central Tendency, Dispersion and inferential statistics (hypothesis testing) is an essential prerequisite. |
| 培训内容 | - Can I anticipate market response to known influences, such as price changes and marketing campaigns?
- How is the revenue of product A related to the advertising expenditure?
- How is the day of the week, the season, temperature or external events affecting the demand of my products?
- What will be the revenue of our new retail store, based on its location’s demographic and psychographic data?
- How will a change of the colour of packaging affect the sales of my flagship product?
- I want to forecast the sales of automobiles based on income levels and competitive intensity.
- How will a reduction of the home delivery sales force or the number of outlets affect the monthly sales?
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- These are common questions and objectives that can be easily addressed with the application of advanced statistical techniques.
- SPSS China is organizing a training course (2 days) about this topic, which will give you sound understanding of Regression and Analysis of Variance (ANOVA). In particular, you will learn:
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- The underlying assumptions and types of data required for each methodology;
- The similarities and differences between these techniques;
- When to use each technique and how to apply them using SPSS products;
- How to interpret the results;
- How to build predictive models and apply them to new data.
- This two-day course examines ANOVA (which allows to test whether the means of several populations are the same) and regression techniques (used to explore the relationships between interval scale variables) in detail. Participants will develop an understanding of when to apply each technique, how to apply it and how to interpret the results.
- Detailed Course Content
- After an initial overview of the techniques available, their assumptions, aims and applications, the following detail is provided:
- Introduction to regression
- Examining the data
- · Simple regression: fit and assumptions
- · Multiple regression: fit and assumptions
- · Stepwise regression
- · Influential points and multicolliniarity
- · Dummy variables
- · Introduction to ANOVA
- · Examining data and testing assumptions
- · One-Factor ANOVA
- · Post-Hoc Testing
- · Multi-Way univariate ANOVA
- · Within-Subjects Designs: Repeated Measures
- Additional details
- Duration: 2 days (9:30am to 5:00pm each day – including one hour lunch break)
- Fee: RMB 3’150 (+ business tax, handouts, two days’ lunch included)
- Software licenses and 10 laptop computers can be provided free of charge
- Language: Mandarin Chinese
- Location: SPSS China – Shanghai office
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