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 =___
The statistic software output for this problem is :
Test statistics = 50.88
P-value = 0.000
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