In: Math
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 r2 and
se.
Weight (tons) |
Cost ($ millions) |
---|---|
1.897 |
$ 53.6 |
3.019 |
183.7 |
0.453 |
6.4 |
0.963 |
23.5 |
1.058 |
34.1 |
2.100 |
110.4 |
2.405 |
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
r2 = enter a number rounded to 3 decimal
places **
se = enter a number rounded to 3 decimal
places **
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Answer in yellow below . I have conducted the linear regression exercise below in Excel.