answer multiple choice and fill in the blanks please!!!

The Helicopler Division of Acrospatiale is studying assembly costs at ths Marseliles plant. Past data indicates the accompanying data of number of labor hours per helcopter. Reduction in labar hours over time is often caled a 7eaming curve" phenomenon. Using these data, apply simple inear regression and examine the residual plat. What do you conclude? Construct a scatter chart and use the Excel Trendline feature to identify the best type of ourvilinear trendline (but not going beyond a second-arter polynomial) that maximizes R2. Click the icon to vew the Helicopter Data. The residuals plet has Therelote, this data be modeled with a inear model. Deformine the best curviliear trendine that maximizes R2. A. The best tiendine is Loganthenic with an R2 value of The equation is y= In ( (Round the coefficient of the iogarithm to one decimal place as needed. Round atil (Round the coefficient to one decimal place as needed. Round al other velues to three decma places as needed c. The best trendine is Power with an R2 value of The equation is y=1 (Round the coeficient to one decimal ploce as reeded, Round at other values to three decimal places as reeded) D. The best trendien is Polynomial with an R2 value of (Round to theee decimal places as nepded) Data Table for number of hours per helicopter