True or false: if we want to know whether two qualitative variables with many possible outcomes are related, this is impossible to test because statistics deals with quantitative data only.
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.
True or false: if we want to know whether two qualitative variables with many possible outcomes are related, this is impossible to test because statistics deals with quantitative data only.
a. False: we can just arbitrarily assign numbers to those outcomes and do regression
b. True: we cannot safely do regression on qualitative variables in any circumstances
c. False: we can conduct a chi-square test on the independence of these two variables
d. True: in general, we don’t use qualitative variables in statistics
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 1 images
