A)
y hat = 131.92 +
2.73x1+.05x22.59x3
B)
sig level
0.01
F
0
Since 2.32E05 < .01, there is a relationship
C)
H0
B2=0
H1
B2=/0
sig level
0.05
D)
R^2= .770. This is pretty high which means that the independent variables
explain part of the total sample variation if y
E)
y hat = 131.92 +
2.73x1+.05x22.59(20)
=y hat = 131.92 +
2.73x1+.05x251.8
1 pound increase
y hat = 131.92 +
2.73x1+.05x22.59(21)
=y hat = 131.92 +
2.73x1+.05x254.39
F)
Give a point estimate of the number of hours of labor in a week when 5000 lbs.
are shipped, 80% of the units are shipped by truck, and the average shipment
y hat = 131.92 +
2.73x1+.05x22.59x3
h
0.09
y hat = 131.92 +
2.73(5)+.05(80)2.59(20)
s
9.81
y hat = 131.92 + 13.65 + 4  51.8
df
16
y hat
97.77
G)
Determine a point estimate of the standard deviation of the model.
s
9.81
H)
Is there evidence that for each additional pound in the average shipment weight
sig level
0.05
Sb3
0.64
df
16
H0
T
1.42
H1
B3 <3.5
p
0.09 > .05
There is no evidence
I)
Test the hypothesis that the standard deviaiton of the model is about 12.
H0
s=12
df
16
X
484.59
H1
s=/12
y hat
97.77
SSr
46638.48
s
9.81
weight is 20 lbs.
The value of
h
for these inputs is .08766.
the hours of labor decreases by less than 3.5 hours?
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 Fall '10
 BHATIA
 Marketing, Statistics, Quadratic equation, Statistical hypothesis testing, hat, sig level, Sig F

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