The following list contains several variables that differentiate college students. physical attractiveness intelligence alcohol consumption shyness exam anxiety hours of sleep per night hours of television per week alphabetical position of last name (A 5 1, B 5 2, and so on) b. Select another variable from the list and then think of a second variable that should be negatively related to the one you selected. Briefly describe how you would do a correlational study to evaluate the relationship.
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.
- The following list contains several variables that differentiate college students.
- physical attractiveness
- intelligence
- alcohol consumption
- shyness
- exam anxiety
- hours of sleep per night
- hours of television per week
- alphabetical position of last name (A 5 1, B 5 2, and so on)
b. Select another variable from the list and then think of a second variable that should be negatively related to the one you selected. Briefly describe how you would do a
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