Is an experiment with more than one dependent variable valid?
It is possible to have experiments in which you have multiple variables. There may be more than one dependent variable and/or independent variable. This is especially true if you are conducting an experiment with multiple stages or sets of procedures.
How many dependent variables are there in multiple regression?
It is also widely used for predicting the value of one dependent variable from the values of two or more independent variables. When there are two or more independent variables, it is called multiple regression.
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.
How to do regression analysis for multiple independent or dependent variables?
In this post, I will show how to run a linear regression analysis for multiple independent or dependent variables. You should not be confused with the multivariable-adjusted model. This tutorial is not about multivariable models.
Can a binary dependent variable be used in regression?
Yes you can! In your case, you’re talking about a binary dependent variable because it has only two levels (presumably), admitted and not admitted. In that case, you’d use binary logistic regression and it’s fine to use a binary (or categorical) independent variable.
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.