ii)the correlation coefficient  6.interpret r2 7. What does S= ...

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ii)the correlation coefficient 

6.interpret r2

7. What does S= ... 

 

 

Math
d fro...
If the p
I fr...
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?
Transcribed Image Text:Math d fro... If the p I fr... 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?
9:19 PM Wed Jan 13
100%
88
Dayessi Chavez Alvarez - Exploring Two-Variable... v
•..
X Dayessi Chavez Alvarez - Exploring Two-Variable Data Un... O
X Copy of Dayessi Chavez Alvarez - Review Problems for Explo...
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
Transcribed Image Text:9:19 PM Wed Jan 13 100% 88 Dayessi Chavez Alvarez - Exploring Two-Variable... v •.. X Dayessi Chavez Alvarez - Exploring Two-Variable Data Un... O X Copy of Dayessi Chavez Alvarez - Review Problems for Explo... 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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