A researcher tested the effect of season (winter vs. summer) and gender (women vs. men) on depression. He found that on average, women experience higher levels of depression during the winter compared to the summer. For men, however, no difference in depression levels was found between winter and summer. The different way in which season affects the depression levels for women and men is an example of _________. 1.no significant effect 2.an interaction effect 3.a main effect for season 4.a main effect for gender
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
A researcher tested the effect of season (winter vs. summer) and gender (women vs. men) on depression. He found that on average, women experience higher levels of depression during the winter compared to the summer. For men, however, no difference in depression levels was found between winter and summer. The different way in which season affects the depression levels for women and men is an example of _________.
1.no significant effect
2.an interaction effect
3.a main effect for season
4.a main effect for gender
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