In: Statistics and Probability
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
0.996 $23.5
1.058 $33.7
2.100 $110.4
2.400 $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 **
(The values of ŷ are obtained using (*) as -
example: For xi= 1.897, ŷi=-38.6896 +(66.0175*1.897)
=86.5483 (approx)
Then, ei=53.6-86.5483=-32.9483 (approx) )