Question: Answer the questions, Calculation steps, results, formulas used, and explanations are required. Must meet all the requirements of the AP Statistics examCalculation steps, results, formulas

Answer the questions, Calculation steps, results, formulas used, and explanations are required. Must meet all the requirements of the AP Statistics examCalculation steps, results, formulas used, and explanations are required. Must meet all the requirements of the AP Statistics exam

Answer the questions, Calculation steps, results, formulas used, and explanations are required.

AP Statistics Page 1 of 4 Assignment: Inference for the Least-Squares Line 1. The following data set contains the number of seats and the average flight-length for 17 aircraft. This data appeared in Contemporary Precalculus with Applications, by the North Carolina School of Science and Mathematics, published in 2000 by Everyday Learning Corporation, Chicago, IL. Aircraft Number of Seats Flight Length (mi) B747-100 405 3,149 L-1011-100/200 296 1,631 DC-10-10 288 1,410 A300 B4 258 1,221 A310-300 240 1,512 B767-300 230 1,668 B767-200 193 1,736 B757-200 188 984 B727-200 148 688 MD-80 142 667 B737-300 131 605 DC-9-50 122 685 B727-100 115 626 B737-100/200 112 440 F-100 103 384 DC-9-30 102 421 DC-9-10 78 394 A. Using your graphing calculator, construct a least-squares regression line for these data. (2 points) B. Is the linear model appropriate for these data? Explain. (2 points) C. State your hypotheses for a two-sided significance test of the slope of the regression line. (1 point) D. Use your graphing calculator to find the test statistic and P-value for this significance test. (2 points) E. Draw a conclusion based on t = 9.9067 and p = .0000000565 for the significance test Hy: 51 =0, Hy: B1 #0 with a = .01. (1 point) F. Calculate the standard error of the slope of the regression line. (2 points) G. Construct a 99% confidence interval for the slope of the regression line. (2 points) H. Interpret the confidence interval (5.32, 9.82) for the slope of the regression line. (1 point)

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