1. Descriptive statistics
File -> Import Data -> Excel
Analysis -> Descriptive Statistics -> Description -> Options -> check the data you want to show
2. Draw a matrix scatter plot
Graphics -> Old dialog -> Scatter / dot plot -> scatterplot matrices
3. The calculated Pearson correlation coefficient and the value of P
4. Normal Distribution Shapiro - Wilson Inspection
Sample Requirements n: 3 <= n <= 50
Watch significance, namely p-value
5 . Canonical Correlation Analysis
6. Variable View: scale, ordered, the name
- Scale: numerical variables, such as height, weight
- Ordered: categorical variables represent certain logic, such as ABC, etc.
- Nominal: categorical variable, but the disorder
7. Export Data
8. Create a dummy variable
Conversion -> Create dummies -> Fill root name
Note: If the number of kinds -1
9. logistic regression
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Two yuan (divalent meaning there are two y)
Analysis -> Regression -> two yuan -> Save (select the desired retention was predicted value)
