The Helicopter Division ofAerospatiale 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 overtime is oen 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 curVIIinear trendline (but not going beyond a secondeorder polynomial) that maximizes R2 a Click the icon to View the Helicopter Data, The residuals plot has a nonlinear shape, Therefore, this data cannot be modeled with a linear model Determine the best curvilineartrendline that maximizes R2. A. O The best trendline is Logarithmic with an R2 value of The equation is y = In (x + (Round the coefcient otthe logarithm to one decimal place as needed Round all other values to three decimal places as needed ) o a. 2 , The best trendline is Exponential With an R value of The equation is y : ( e , (Round the coefCient to one decimal place as needed. Round all other values to three deCImal places as needed.) 0 c , 2 , , T The best trendline is Power With an R value of _ The equation is y = (Round the coefcient to one decimal place as needed, Round all other values to three decimal places as needed ) O D- The best trendline is Polynomial With an R2 value of The equation is y: ( x2 + x + (Round to three decimal places as needed ) Data Table for number of hours per helicopter Helicopter Number Labor Hours 2000 1425 1236 1141 1073 1026 982 958