ii)the correlation coefficient 6.interpret r2 7. What does S= ...
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.
ii)the
6.interpret r2
7. What does S= ...
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5. If the point representing 64 wins and attendance of 40,786 people per game is removed from the set
of data and a new regression analysis is conducted, how would the following be impacted? Explain your
reasoning.
(i)
The slope of the least-squares line:
(ii) The correlation coefficient:
6. Interpret r2 in this context
7. What does S = 7,377 measure in the context of this problem?"
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2. Wins and Attendance
The following scatterplot shows the number of wins and the attendance per game for 30 baseball teams
in 2017. Also shown are the least-squares regression line and computer output.
50,000
45,000
40,000
35,000
30,000
25,000
20,000
15,000
60
70
80
90
100
Number of Wins
Term
Coef
SE Coef
T-Value
P-Value
Constant
10834
9716
1.12
0.274
Wins
235
119
1.98
0.058
S = 7,377
R- sq = 12.29%
Adj R – sq =
9.16%
Attendance per Game"
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