A candidate for office claims that "there is a correlation between television watching and crime." Criticize this statement on statistical grounds. Choose the correct answer below. O A. The variables need to be re-expressed to improve the straightness of the relationship. O B. There may be a lurking variable, like playing video games, that stands behind a relationship and determines it by simultaneously affecting the other two variables. O C. There may be an association, but not a correlation unless the variables are quantitative. There could be a correlation between average number of hours of TV watched per week per person and number of crimes committed per year. Even if there is a relationship, it doesn't mean one causes the other. O D. There may be a high correlation between the two variables, and the candidate is jumping to the conclusion that television watching causes crime.
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.
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