7. 8 9. Yards/Attempt
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.
 alt="5
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5
6 7 8
Yards/Attempt
Yards/Attempt
Yards/Attempt
90
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10
5
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9
Yards/Attempt
(b) What does the scatter diagram developed in part (a) indicate about the relationship between the two variables?
The scatter diagram indicates no noticeable linear relationship between average number of passing yards per attempt and the percentage of games won by the team.
The scatter diagram indicates a negative linear relationship between average number of passing yards per attempt and the percentage of games won by the team.
The scatter diagram indicates a positive linear relationship between average number of passing yards per attempt and the percentage of games won by the team.
(c) Develop the estimated regression equation that could be used to predict the percentage of games won given the average number of passing yards per attempt. (Round your numerical values to
three decimal places.)
(d) Provide an interpretation for the slope of the estimated regression equation.
The slope gives the change in the average number of passes per attempt for every one percentage point increase in the percentage of games won.
The slope gives the change in the percentage of games won for every one yard increase in the average number of passes per attempt.
The slope gives the average number of passes per attempt when the percentage of games won is 0%.
The slope gives the change in the average number of passes per attempt for every one percentage point decrease in the percentage of games won.
The slope gives the percentage of games won when the average number of passes per attempt is 0.
Win %
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
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