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 |
183.6 |
0.453 |
6.4 |
0.960 |
23.5 |
1.058 |
32.6 |
2.100 |
110.4 |
2.370 |
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 = ( ) * + ( ) * x
r2 = ( ) **
se = ( ) **
Please Fill in the ( ) blanks
The statistical software output for this problem is :
= -38.3699 + 66.0614 x
r 2 = 0.909
S e = 20.636
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