Contents
How do you interpret independent and dependent variables?
Independent and dependent variables
- The independent variable is the cause. Its value is independent of other variables in your study.
- The dependent variable is the effect. Its value depends on changes in the independent variable.
Do you predict the independent or dependent variable?
The independent variables are called as such because independent variables predict or forecast the values of the dependent variable in the model.
How to analyse data with multiple dependent and independent variables?
From doing individual simple linear regression I have found significance for summer rainfall and winter temperature as factors influencing my dependent variables, but I know that this isn’t very statistically viable! Is principle component analysis a suitable way of analysing this data?
How to choose an appropriate statistical test for two dependent variables?
This table is designed to help you choose an appropriate statistical test for data with two or more dependent variables. Hover your mouse over the test name (in the Test column) to see its description. The Methodology column contains links to resources with more information about the test.
When to use independent samples in statistical analysis?
An independent samples t-test is used when you want to compare the means of a normally distributed interval dependent variable for two independent groups. For example, using the hsb2 data file, say we wish to test whether the mean for write is the same for males and females. t-test groups = female (0 1) /variables = write.
How can I measure the relationship between one independent?
If there is multiple response variables and one predictor, it is called multivariate regression. If there is multiple response variables and multiple predictors, it is called multivariate multiple regression. Your problem falls in 3rd category, so it is multivariate regression.