SUMMARY OUTPUT
Regression Statistics
Multiple R
0.968413113
R Square
0.9378239573
Adjusted R Square
0.9316063531
Standard Error
2.7571828889
Observations
12
ANOVA
df
Regression
Residual
Total
1
10
11
Coefficients
19.3873835285
0.0414285679
Intercept
X Var
Final Exam, Stat 2012
Dec. 17th,2009
Name:
A total of 20 points. 1 point for each problem. Read the problem carefully before making your choice.
1. (Gift question) Use three words to describe your instructor.
Which Inference to use? (2-4) Read the problem
Final Exam, Stat 2012
Dec. 17th,2009
Name:
A total of 25 points. 1 point for each problem. Read the problem carefully before making your choice.
1. (Toy question) What is your favorite movie?
Which Inference to use? (2-6) Read the problem carefully and ch
Practice Exam
Movie Revenues
A financier whose specialty is investing in movie productions has observed that, in general, movies with
"big-name" stars seem to generate more revenue than those movies whose stars are less well known. To
examine his belief h
Practice Exam
Movie Revenues
A financier whose specialty is investing in movie productions has observed that, in general, movies with
"big-name" stars seem to generate more revenue than those movies whose stars are less well known. To
examine his belief h
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.995374
R Square
0.99077
Adjusted R Square
0.989616
Standard Error
2.024684
Observations
10
ANOVA
df
Regression
Residual
Total
SS
MS
F
Significance F
1 3520.105241707 3520.105 858.6995
0.000000002
8 32.7947
Practice for Exam 2
1. Consider the following partial ANOVA table:
Source of Variation
Treatments
Error
Total
SS
75
60
135
df
3
16
19
MS
25
F
6.77
3.75
The numerator and denominator degrees of freedom for the F-test (identified by asterisks) are
a. 4 and
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.2790624
R Square
0.0778758
Adjusted R Square
0.0499327
Standard Error
451.54534
Observations
35
ANOVA
df
Regression
Residual
Total
Intercept
X Variable 1
SS
MS
F
Significance F
1 568237.58 568237.58 2.7869