The output below regresses tickets (in the millions) on the metacritic score (which goes from 0 to 100) for 127 movies that were released in 2015. What is the predicted number of tickets sold for a film that received a metacritic score of 50? reg tickets metacritic Source SS df MS Model Residual 89.7449542 16706.6983 1 89.7449542 125 133.653586 Total 16796.4433 126 133.305105 Number of obs F(1, 125) Prob > F R-squared Adj R-squared Root MSE = = || || || || || || = = 127 0.67 0.4141 0.0053 -0.0026 11.561 tickets Coefficient Std. err. t P>|t| [95% conf. interval] metacritic _ cons 0446156 .0544467 3.870496 3.240547 0.82 0.414 1.19 0.235 -.0631413 -2.542948 .1523724 10.28394 About 44,600 tickets About 9.2 million tickets About 6.1 million tickets About 3.9 million tickets
The output below regresses tickets (in the millions) on the metacritic score (which goes from 0 to 100) for 127 movies that were released in 2015. What is the predicted number of tickets sold for a film that received a metacritic score of 50? reg tickets metacritic Source SS df MS Model Residual 89.7449542 16706.6983 1 89.7449542 125 133.653586 Total 16796.4433 126 133.305105 Number of obs F(1, 125) Prob > F R-squared Adj R-squared Root MSE = = || || || || || || = = 127 0.67 0.4141 0.0053 -0.0026 11.561 tickets Coefficient Std. err. t P>|t| [95% conf. interval] metacritic _ cons 0446156 .0544467 3.870496 3.240547 0.82 0.414 1.19 0.235 -.0631413 -2.542948 .1523724 10.28394 About 44,600 tickets About 9.2 million tickets About 6.1 million tickets About 3.9 million tickets
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![The output below regresses tickets (in the millions) on the metacritic score (which goes from
0 to 100) for 127 movies that were released in 2015.
What is the predicted number of tickets sold for a film that received a metacritic score of 50?
reg tickets metacritic
Source
SS
df
MS
Model
Residual
89.7449542
16706.6983
1 89.7449542
125 133.653586
Total
16796.4433
126 133.305105
Number of obs
F(1, 125)
Prob > F
R-squared
Adj R-squared
Root MSE
=
=
|| || || || || ||
=
=
127
0.67
0.4141
0.0053
-0.0026
11.561
tickets
Coefficient Std. err.
t
P>|t|
[95% conf. interval]
metacritic
_ cons
0446156 .0544467
3.870496 3.240547
0.82 0.414
1.19 0.235
-.0631413
-2.542948
.1523724
10.28394
About 44,600 tickets
About 9.2 million tickets
About 6.1 million tickets
About 3.9 million tickets](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2225a944-df22-4b7d-83fa-578c45dad04f%2F77df98a2-1532-44bb-afd2-b2145fb6f501%2Fud07fzg_processed.png&w=3840&q=75)
Transcribed Image Text:The output below regresses tickets (in the millions) on the metacritic score (which goes from
0 to 100) for 127 movies that were released in 2015.
What is the predicted number of tickets sold for a film that received a metacritic score of 50?
reg tickets metacritic
Source
SS
df
MS
Model
Residual
89.7449542
16706.6983
1 89.7449542
125 133.653586
Total
16796.4433
126 133.305105
Number of obs
F(1, 125)
Prob > F
R-squared
Adj R-squared
Root MSE
=
=
|| || || || || ||
=
=
127
0.67
0.4141
0.0053
-0.0026
11.561
tickets
Coefficient Std. err.
t
P>|t|
[95% conf. interval]
metacritic
_ cons
0446156 .0544467
3.870496 3.240547
0.82 0.414
1.19 0.235
-.0631413
-2.542948
.1523724
10.28394
About 44,600 tickets
About 9.2 million tickets
About 6.1 million tickets
About 3.9 million tickets
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