Question
In: Math
People in the aerospace industry believe the cost of a space project is a function of...
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 $53.6
3.019 185.1
0.453 6.4
0.994 23.5
1.058 34.1
2.100 110.4
2.402 104.6
ŷ = enter a number rounded to 4 decimal
places * + enter a number rounded to 4
decimal places * x
r2 = enter a number rounded to 3 decimal
places **
se = enter a number rounded to 3 decimal
places **
Solutions
milcah answered 1 year agoRelated Solutions
People in the aerospace industry believe the cost of a space project is a function of...
People in the aerospace industry believe the cost of a space
project is a function of the weight of the major object being sent
into space. You will use the following data to develop a regression
model to predict the cost of a space project by the weight of the
space object. Object Weight (tons) 1. 1.897, 2. 3.019, 3. 0.453 ,
4. 0.988, 5. 1.058, 6. 2.100, 7. 2.387 total 11.902
Project Cost ($millions) 1. 53.6, 2. 184.9 ,3....
People in the aerospace industry believe the cost of a space project is a function of...
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)
1.897
3.019
0.453
0.965
1.058
2.100
2.379
Cost ($ millions)
$53.6
184.9
6.4
23.5
34.2
110.4
104.6
*(Do not round the intermediate values. Round...
People in the aerospace industry believe the cost of a space project is a function of...
People in the aerospace industry believe the cost of a space
project is a function of the mass of the major object being sent
into space. Use the following data to develop a regression model to
predict the cost of a space project by the mass of the space
object. Determine r2 and se. Weight (tons) Cost ($ millions) 1.897
$ 53.6 3.019 184.0 0.453 6.4 0.967 23.5 1.058 34.1 2.100 110.4
2.371 104.6 *(Do not round the intermediate values....
People in the aerospace industry believe the cost of a space project is a function of...
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
184.8
0.453
6.4
0.975
23.5
1.058
32.6
2.100
110.4
2.379
104.6
*(Do not round the intermediate values....
People in the aerospace industry believe the cost of a space project is a function of...
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
183.8
0.453
6.4
0.997
23.5
1.058
32.8
2.100
110.4
2.377
104.6
*(Do not round the intermediate values....
People in the aerospace industry believe the cost of a space project is a function of...
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) 1.897, 3.019, 0.453, 0.979, 1.058, 2.100, 2.408,
Cost ($ millions) 53.6, 184.7, 6.4, 23.5, 33.4, 110.4, 104.6
*(Do not round the intermediate values. Round...
People in the aerospace industry believe the cost of a space project is a function of...
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 3.019 184.7 0.453 6.4 0.993 23.5 1.058 33.3 2.100 110.4
2.392 104.6 *(Do not round the intermediate values....
People in the aerospace industry believe the cost of a space project is a function of...
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 $185.2
0.453 $6.4
0.960 $23.5
1.058 $33.5
2.100 $110.4
2.392 $104.6
ŷ = ________ + __________ x...
People in the aerospace industry believe the cost of a space project is a function of...
People in the aerospace industry believe the cost of a space
project is a function of the mass of the major object being sent
into space. Use the following data to develop a regression model to
predict the cost of a space project by the mass of the space
object. Determine r2 and se.
Weight (tons)
Cost ($ millions)
1.897
$ 53.6
3.019
183.9
0.453
6.4
0.996
23.5
1.058
32.9
2.100
110.4
2.380
104.6
*(Do not round the intermediate values....
people in the aerospace industry believe the cost of a space project is a function of...
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 se. weight= 1.897, 3.019, 0.453, 0.970,
1.058, 2.100, 2.389. cost = 53.6, 183.9, 6.4, 23.5, 33.4, 110.4,
104.6. y= + x r^2= se=
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