People in the aerospace industry believe the cost of a space
project is a function of the mass of the major object being sent
into space. Use the following data to develop a regression model to
predict the cost of a space project by the mass of the space
object. Determine r^{2} and
s_{e}.
Weight (tons) |
Cost ($ millions) |
---|---|
1.897 |
$ 53.6 |
3.019 |
184.9 |
0.453 |
6.4 |
0.995 |
23.5 |
1.058 |
33.4 |
2.100 |
110.4 |
2.397 |
104.6 |
*(Do not round the intermediate values. Round your
answers to 4 decimal places.)
**(Round the intermediate values to 4 decimal places. Round
your answer to 3 decimal places.)
ŷ = enter a number rounded to 4 decimal
places * + enter a number rounded to 4
decimal places * x
r^{2} = enter a number rounded to 3 decimal
places **
s_{e} = enter a number rounded to 3 decimal
places **
The statistical software output for this problem is :
= -39.0633 + 66.3011 x
r ^{2} = 0.905
se = 21.238
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