If I'm trying to find the correlation between A and B using a statistical test, should I consider the distribution of A or distribution of B or distribution of both while selecting a statistical test? My A has numerical discrete data that ranges from 0 to 99 My B is a binomial/ dichotomous data with values 0s and 1s. A - number of times people eat fast food in 30 days -
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.
If I'm trying to find the
A - number of times people eat fast food in 30 days -
B - Obese or not - 0 or 1 - binomial data -
Please help! I have a submission!
Correlation:
Correlation gives the information about strength of the association and direction of the linear relationship between two variables.
That is, the correlation gives only association and it does not represent any cause and effect.
Hence, we can’t conclude that one variable affects the changes in the other variable.
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