Last name: 
 
 
 
 
First name:
 
 
 
 
 
 
 
 
 
 
 
 
 
Enter your LETTER answers HERE
 
 
 
 
 
 
 
 

 
 
 
 
 
 
 
 
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Note:
 
 
 
 
 
 
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When done, using your LAST NAME and FIRST NAME
 
 
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save THIS file as
E270Lastname Firstname TEST7
 
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and e-mail it to
[email protected]
 
 
 
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7
 
 
 
 
 
 
 
 
 
8
 
 
 
 
 
 
 
 
 
9
 
 
 
 
 
 
 
 
 
10
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Next 5 questions are based on the following data relating cases sold of the brand of soft drink to media expenditure.
 
Media Expenditure
Case Sales
 
 
 
 
 
 
 
($millions)
(millions)
 
Use the following calculations in the relevant formulas to answer the questions
 
65
 
980
 
 
46
 
960
 
n =
7
 
 
 
 
32
 
700
 
x̅ =
32
 
 
 
 
28
 
345
 
y̅ =
520
 
 
 
 
25
 
360
 
∑xy =
153,310
∑(y − y̅)² =
773,450
 
 
18
 
180
 
∑x² =
9,198
∑(y − ŷ)² =
105,248.57
 
10
 
115
 
∑(x − x̅)² =
2,030
∑(ŷ − y̅)² =
668,201.43
 
 
 
 
 
 
 
 
 
 
1)
The estimated regression equation predicts that for each additional $1 million in media expenditure, the case sales would increase by ______ million.
 
A
9.6
 
 
 
 
 
 
 
 
B
12.8
 
 
 
 
 
 
 
 
C
14.6
 
 
 
 
 
 
 
 
D
18.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2)
The regression model shows that on average observed values of Case Sales deviate from the predicted values (or from the regression line) by ______ million cases 
 
A
145.1
 
 
 
 
 
 
 
 
B
135.2
 
 
 
 
 
 
 
 
C
126.5
 
 
 
 
 
 
 
 
D
118.3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3)
The regression model indicates that ______% of variations in case sales is explained by media expenditure
A
95.7
 
 
 
 
 
 
 
 
B
92.6
 
 
 
 
 
 
 
 
C
86.4
 
 
 
 
 
 
 
 
D
82.4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4)
To build a confidence interval for the slope coefficient b₁ the standard error of b₁, se(b₁) is
 
A
3.22
 
 
 
 
 
 
 
 
B
2.89
 
 
 
 
 
 
 
 
C
1.99
 
 
 
 
 
 
 
 
D
1.26
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5)
To perform a test of hypothesis that the population slope parameter is zero, the test statistic t is
A
6.52
 
 
 
 
 
 
 
 
B
5.63
 
 
 
 
 
 
 
 
C
4.68
 
 
 
 
 
 
 
 
D
3.89
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Use the following Excel regression output to answer the next 5 questions.  The output shows the result of running a regression relating costs to production volume.  Fill in the highlighted cells first.
 
 
 
 
 
 
 
 
 
 
 
SUMMARY OUTPUT
 
 
 
 
 
 
 
 
Regression Statistics
 
 
 
 
 
 
 
 
Multiple R
0.9877
 
 
 
 
 
 
 
R Square
 
 
 
 
 
 
 
 
 
Adjusted R Square
0.9695
 
 
 
 
 
 
 
Standard Error
 
 
 
 
 
 
 
 
Observations
6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ANOVA
 
 
 
 
 
 
 
 
 
 
df
SS
MS
F
Signif F
 
 
 
 
Regression
1
 
 
160.07159
2.25E-04
 
 
 
 
Residual
 
184775
 
 
 
 
 
 
 
Total
5
7579083
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Coefficients
Std Error
t Stat
P-value
Lower 95%
Upper 95%
 
 
 
Intercept
617.662
428.31
1.442
0.2227
-571.51
1806.84
 
 
 
X Variable 1
8.755
 
 
0.0002
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6)
The percentage of the variations in cost explained by production volume is:
 
 
A
97.6%
 
 
 
 
 
 
 
 
B
93.0%
 
 
 
 
 
 
 
 
C
90.3%
 
 
 
 
 
 
 
 
D
87.7%
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7)
The predicted total cost when production volume is 1,000 is,
 
 
 
A
8,581
 
 
 
 
 
 
 
 
B
8,827
 
 
 
 
 
 
 
 
C
9,373
 
 
 
 
 
 
 
 
D
9,670
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8)
Given that the sum of the squared deviations of production volume is 96,470.83, the standard error of the slope coefficient is
 
A
1.280
 
 
 
 
 
 
 
 
B
1.084
 
 
 
 
 
 
 
 
C
0.888
 
 
 
 
 
 
 
 
D
0.692
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9)
The lower end of the 95% confidence interval for the slope coefficient is
 
 
A
5.16
 
 
 
 
 
 
 
 
B
6.83
 
 
 
 
 
 
 
 
C
8.98
 
 
 
 
 
 
 
 
D
9.49
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
10)
The value of the t Stat for the slope coefficient is
 
 
 
 
A
12.65
 
 
 
 
 
 
 
 
B
10.17
 
 
 
 
 
 
 
 
C
7.69
 
 
 
 
 
 
 
 
D
5.21
 
 
 
 
 
 
 
 
 
 
 

 
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