The table shows the number of regular-season NFL football games won by the winner of the Super Bowl for the years shown. Year Regular-Season Games Won by Super Bowl Winner 2002 12 2003 14 2004 14 2005 11 2006 12 Source: National Football League Identify the value of the correlation coefficient of the data in the table. r=0.5 r=0 r=−1 r=1
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 table shows the number of regular-season NFL football games won by the winner of the Super Bowl for the years shown.
| Year | Regular-Season Games Won by Super Bowl Winner |
|---|---|
| 2002 | 12 |
| 2003 | 14 |
| 2004 | 14 |
| 2005 | 11 |
| 2006 | 12 |
Source: National Football League
Identify the value of the
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r=0.5
-
r=0
-
r=−1
-
r=1
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