The Helicopter Division of Aerospatiale is studying assembly costs at its Marseilles plant Past data indicates the accompanying data of number of labor hours per helicopter Reduction in labor hours over time is often called a learning curve phenomenon Using these data apply simple linear regression and examine the residual plot What do you conclude Construct a scatter chart and use the Excel Trendline feature to identify the best type of curvilinear trendline but not going beyond a second order polynomial that maximizes R Click the icon to view the Helicopter Data The residuals plot has a nonlinear shape Determine the best curvilinear trendline that maximizes R O A OB The best trendline is Exponential with an R2 value of Round the coefficient to one decimal place as needed The best trendline is Power with an R2 value of Round the coefficient to one decimal place as needed O C The best trendline is Logarithmic with an R2 value of Round the coefficient of the logarithm to one decimal OD The best trendline is Polynomial with an R2 value of Round to three decimal places as needed h Therefore this data cannot be modeled with a linear model The equation is y x Round all other values to three decimal places as needed The equation is y e Round all other values to three decimal places as needed The equation is y In x place as needed Round all other values to three decimal places as needed The equation is y x x Data Table for number of hours per helicopter Helicopter Number 1 2 3 4 5 6 Labor Hours 2000 1350 1235 1143 1071 1029 O X