What is the best statistical test that I can use on a dataset where I am trying to establish a correlation between fast food, sugary drinks, exercise, income, etc, and obesity? I would like to create multiple hypotheses and would like to understand what would be the best test I could use. For example, I am trying to analyze the correlation between fast food and obesity. So my H0 would be that there is no correlation between the two and HA would be that there is an increased probability of being obese if one consumes fast food. Please note that my fast food data is positively skewed and has values ranging from 0-99. The question asked was how many times the person consumed fast food in 30 days.

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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.