The CEO of a coffee chain wants to determine whether people's income (measured on a ratio scale) predicts their coffee preferences. She also wants to test whether people's attitude towards vegan food (measured on a 7-point Likert scale ranging from 1 = do not like at all, 7 = like a lot) influences this relationship. Thus, she wants to test whether coffee preferences depends on income and attitudes towards vegan food. Which test would she run to analyze the data?
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.
Trending now
This is a popular solution!
Step by step
Solved in 2 steps