You are looking to use simple linear regression to link fuel consumption to revolutions per minute (RPM) for a new commercial jet aircraft engine that your company has produced The following five observations are available from an early simulation The estimated regression equation turns out to be y 60 38x Have you found a statistically significant linear relationship between RPM and fuel consumption at the 5 significance level Explain Fuel Consumption Engine RPM (1000s) (gallons hr of operation) 10 20 30 40 50 500 900 1000 1500 2100

Question: You are looking to use simple linear regression to link fuel consumption to revolutions per minute (RPM) for a new commercial jet aircraft engine that

You are looking to use simple linear regression to link fuel consumption to revolutions per minute (RPM) for a new commercial jet aircraft engine that your company has produced. The following five observations are available from an early simulation:

Fuel Consumption Engine RPM (1000s) (gallons/hr of operation) 10 20 30 40

The estimated regression equation turns out to be ŷ = 60 + 38x. Have you found a statistically significant linear relationship between RPM and fuel consumption at the 5% significance level? Explain.

Fuel Consumption Engine RPM (1000s) (gallons/hr of operation) 10 20 30 40 50 500 900 1000 1500 2100

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