What is the correlation and p-value between these variables? The correlation is i The p-value is i Part 4 What is the correlation and p-value between these variables? The correlation is i

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NBA Players: Correlation Matrix
The dataset NBAPlayers 2015 contains information on many variables for players in the NBA (National Basketball Association) during
the 2014-15 season. The dataset includes information for all players who averaged more than 24 minutes per game (n = 182) and 25
variables, including Age, Points (number of points for the season per game), FTPct (free throw shooting percentage), Rebounds (number
of rebounds for the season), and Steals (number of steals for the season). A correlation matrix for these five variables is shown. A
correlation matrix allows us to see lots of correlations at once, between many pairs of variables. For any pair of variables (indicated by
the row and the column), we are given two values: the correlation as the top number and the p-value for a two-tail test of the
correlation right beneath it.
Correlations: Age, Points, FTPct, Rebounds, Steals
Age
Points FTPct Rebounds
Points
FTPct
Steals
Rebounds -0.028 0.332 0.408
0.712 0.000 0.000
Part 2
-0.019
0.800
0.147 0.288
0.047 0.000
Cell Contents: Pearson correlation
-0.071 0.557 0.008
0.021 0.000 0.918
Part 5
P-Value
The correlation is i
The p-value is i
Part 4
What is the correlation and p-value between these variables?
i
The correlation is i
What is the correlation and p-value between these variables?
The p-value is i
0.096
0.198
(c) At a 5% significance level, for how many pairs of variables is there NOT convincing evidence of a linear association?
pair(s)
Transcribed Image Text:NBA Players: Correlation Matrix The dataset NBAPlayers 2015 contains information on many variables for players in the NBA (National Basketball Association) during the 2014-15 season. The dataset includes information for all players who averaged more than 24 minutes per game (n = 182) and 25 variables, including Age, Points (number of points for the season per game), FTPct (free throw shooting percentage), Rebounds (number of rebounds for the season), and Steals (number of steals for the season). A correlation matrix for these five variables is shown. A correlation matrix allows us to see lots of correlations at once, between many pairs of variables. For any pair of variables (indicated by the row and the column), we are given two values: the correlation as the top number and the p-value for a two-tail test of the correlation right beneath it. Correlations: Age, Points, FTPct, Rebounds, Steals Age Points FTPct Rebounds Points FTPct Steals Rebounds -0.028 0.332 0.408 0.712 0.000 0.000 Part 2 -0.019 0.800 0.147 0.288 0.047 0.000 Cell Contents: Pearson correlation -0.071 0.557 0.008 0.021 0.000 0.918 Part 5 P-Value The correlation is i The p-value is i Part 4 What is the correlation and p-value between these variables? i The correlation is i What is the correlation and p-value between these variables? The p-value is i 0.096 0.198 (c) At a 5% significance level, for how many pairs of variables is there NOT convincing evidence of a linear association? pair(s)
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