Joshua is trying to decide if there is a relationship between a driver's age and the number of traffic tickets they get. He surveys 150 people of various ages in three towns. He records their ages, how many traffic tickets they got in the last year, and the town they live in. He creates a graph of his data. What is the dependent variable? ) A) 150 people B) person's age number of tickets D) town they live in
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.
Here the parameters involved are
1) The age of drivers
2) Number of tickets
3) Number of people
4) Town they lived in
5) Traffic tickets
Now we have to check whether there is a relation between age of drivers and number of tickets.
Out of all these parameters, we can choose in our choice number of people, in desired age group and in the desired town. But we cannot choose number of tickets as it depends on the people we selected.
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