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SPSS regression analysis made as easy as possibleAutomated regression analysis for SPSS files
Forgot how to interpret odds ratios, confidence intervals or p‑values?Easystat explains all regression results using plain English. We even write you an automated report explaining your results.
> dataframe => read.spss("dataset.sav", to.data.frame=TRUE, add.undeclared.levels = c("High", "Middle", "Low"), sub = ".", use.missings = to.data.frame)
> gender => dataframe[, "gender"]
> income => dataframe[, "income"]
> age => dataframe[, "age"]
Tired of coding?Easystat does all the coding for you, so you do not have to write a single line of code.
Uncertain about which statistical methods to use?
Easystat uses statistical expert knowledge and artificial intelligence to select the best statistical methods for you.
For regression analyses, Easystat automatically applies:
- Ordinary least squares (OLS)
- Robust regression
- Logistic regression
- Ordered logistic regression
- Multinomial logistic regression
- Linear probability models
- Robust standard errors
Easystat automatically takes care of: