Question
Consider the following data on x = weight (pounds) and y = price ($) for 10...
Consider the following data on x = weight (pounds) and y = price ($) for 10 road-racing bikes.
| Brand | Weight | Price ($) |
|---|---|---|
| A | 17.8 | 2,100 |
| B | 16.1 | 6,150 |
| C | 14.9 | 8,370 |
| D | 15.9 | 6,200 |
| E | 17.2 | 4,000 |
| F | 13.1 | 8,500 |
| G | 16.2 | 6,000 |
| H | 17.1 | 2,680 |
| I | 17.6 | 3,400 |
| J | 14.1 | 8,000 |
These data provided the estimated regression equation ŷ = 28,277 − 1,421x.
For these data, SSE = 6,903,351.24 and SST = 50,805,800. Use the F test to determine whether the weight for a bike and the price are related at the 0.05 level of significance.
Find the value of the test statistic. (Round your answer to two decimal places.)___
Find the p-value. (Round your answer to three decimal places.)
p-value =___
Homework Answers
Answer #1
The statistic software output for this problem is :
Test statistics = 50.88
P-value = 0.000
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Similar Questions
Consider the following data on x = weight (pounds) and y = price ($) for 10...
Consider the following data on x = weight (pounds) and
y = price ($) for 10 road-racing bikes.
Brand
Weight
Price ($)
A
17.8
2,100
B
16.1
6,150
C
14.9
8,370
D
15.9
6,200
E
17.2
4,000
F
13.1
8,600
G
16.2
6,000
H
17.1
2,480
I
17.6
3,300
J
14.1
8,000
These data provided the estimated regression
equation ŷ = 28,750 − 1,452x.
For these data, SSE = 7,198,472.68 and SST = 53,025,800.Use the
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Consider the following data on x = weight (pounds) and y = price ($) for 10...
Consider the following data on x = weight (pounds) and
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Brand
Weight
Price ($)
A
17.8
2,100
B
16.1
6,250
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14.9
8,370
D
15.9
6,200
E
17.2
4,000
F
13.1
8,600
G
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6,000
H
17.1
2,680
I
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8,000
These data provided the estimated regression equation
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For these data, SSE = 6,833,947.38 and SST = 51,535,800. Use the
F test to determine...
Consider the following data on x = weight (pounds) and y = price ($) for 10...
Consider the following data on x = weight (pounds) and
y = price ($) for 10 road-racing bikes.
Brand
Weight
Price ($)
A
17.8
2,100
B
16.1
6,350
C
14.9
8,370
D
15.9
6,200
E
17.2
4,000
F
13.1
8,500
G
16.2
6,000
H
17.1
2,680
I
17.6
3,500
J
14.1
8,000
These data provided the estimated regression
equation ŷ = 28,175 − 1,413x.
For these data, SSE = 7,270,445.08 and SST = 50,662,800. Use the
F test to determine whether...
Consider the following data on x = weight (pounds) and y = price ($) for 10...
Consider the following data on x = weight (pounds) and
y = price ($) for 10 road-racing bikes.
Brand
Weight
Price ($)
A
17.8
2,100
B
16.1
6,250
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14.9
8,370
D
15.9
6,200
E
17.2
4,000
F
13.1
8,600
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H
17.1
2,580
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17.6
3,400
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14.1
8,000
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You may need to use the appropriate technology to answer this
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y = price ($) for 10 road-racing bikes.
Brand
Weight
Price ($)
A
17.8
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16.1
6,250
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14.9
8,370
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16.2
6,000
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14.1
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