Suppose we wish to assess whether there is a relationship between exercise on campus and students' living arrangements. The data are shown below. No Regular Exercise Sporadic Exercise Regular Exercise Dormitory 32 30 28 On-Campus Apartment 74 64 42 Off-Campus Apartment 110 25 15 At Home 39 6 5 Based on the data, use the chi square test to determine the relationship between exercise and student's living arrangement? Do you think where a person lives affect their exercise status? Let = 0.05.
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.
. Suppose we wish to assess whether there is a relationship between exercise on campus and students' living arrangements. The data are shown below. No Regular Exercise Sporadic Exercise Regular Exercise Dormitory 32 30 28 On-Campus Apartment 74 64 42 Off-Campus Apartment 110 25 15 At Home 39 6 5 Based on the data, use the chi square test to determine the relationship between exercise and student's living arrangement? Do you think where a person lives affect their exercise status? Let = 0.05.
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