Question

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 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 **

Answer 1

The statistical software output for this problem is :

= -38.2276 + 66.1438 x

r ² = 0.907

Se = 21.036