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 3.019 184.1 0.453 6.4 0.994 23.5 1.058 33.6 2.100 110.4 2.390 104.6 *(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  **

College Algebra
1st Edition
ISBN:9781938168383
Author:Jay Abramson
Publisher:Jay Abramson
Chapter4: Linear Functions
Section4.3: Fitting Linear Models To Data
Problem 34SE: For the following exercises, consider this scenario: The profit of a company decreased steadily...
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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
184.1
0.453
6.4
0.994
23.5
1.058
33.6
2.100
110.4
2.390
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  **
s= enter a number rounded to 3 decimal places  **

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