The average number of passing yards per attempt for the New York Jets during the 2011 season was 6.5, and the team’s number of interceptions thrown per attempt was 0.033. Use the estimated regression equation developed in part (c) to predict the percentage of games won by the New York Jets during the 2011 season. (Note: For the 2011 the 2011 season, the New York Jets' record was 7 wins and 9 loses.
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 average number of passing yards per attempt for the New York Jets during the 2011 season was 6.5, and the team’s number of interceptions thrown per attempt was 0.033. Use the estimated regression equation developed in part (c) to predict the percentage of games won by the New York Jets during the 2011 season. (Note: For the 2011 the 2011 season, the New York Jets' record was 7 wins and 9 loses.
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