21,000 22,000 An airline company expects a linear relationship between Flight Hours (X) and the total maintenance costs (Y). The following data has been collected: X: Independent Variable Month January February Flight Hours Y: Dependent Variable Maintenance Costs $84,000 $90,000 March 14,000 $71,000 April 17,000 $75,000 May 10,000 $45,000 June 19,000 $78,000 July 15,000 $64,000 August 16,000 $68,000 September 20,000 $85,000 October 14,000 $60,000 November 18,000 $77,000 December 12,000 Total 198,000 $51,000 $848,000 Q1: Using the high-low method, estimate the linear relationship Y = a + bx. Note: for the high-low method, we only use two data points: High: the data point with the largest value of X Low: the data point with the smallest value of X Y = + X. (Rounding to 2 decimal places, e.g., 4.232=4.23; 8.505=8.51; 3.6=3.60) Q2: Using all twelve data points and run a regression to estimate the linear relationship Y = a + bx. Y = Goodness of fit (R-squared) = + X. (Rounding to 2 decimal places, e.g., 4.232=4.23; 8.505=8.51; 3.6=3.60) (Rounding to 2 decimal places, e.g., 4.232=4.23; 8.505=8.51; 3.6=3.60)