Question: b-2. State the decision rule for 0.05 significance level: H 0 : 0; H 1 : > 0. (Round your answer to 3 decimal places.)

b-2.State the decision rule for 0.05 significance level:H₀: 0;H₁:> 0.(Round your answer to 3 decimal places.)

Reject H0 if t > _______

b-3.Compute the value of the test statistic.(Round intermediate calculations and final answer to 3 decimal places.)

d-1.Determine the regression equation.(Round your answers to 5 decimal places.)

The regression is Fare = ____________ + ____________ distance

d-2.How much does each additional mile add to the fare?(Round your answer to 5 decimal places.)

No. of additional miles= ________________

d-3.Estimate the fare for a 1,500-mile flight.(Round your answer to 2 decimal places.)

1500 mile flight fare = ____________

b-2.State the decision rule for 0.05 significance level:H0: 0;H1:> 0.(Round your answer

TravelAir.com samples domestic airline flights to explore the relationship between airfare and distance. The service would like to know if there is a correlation between airfare and flight distance. If there is a correlation, what percentage of the variation in airfare is accounted for by distance? How much does each additional mile add to the fare? The data follow: Origin Destination Distance Fare Detroit, MI Myrtle Beach, SC 636 $109 Baltimore, MD Sacramento, CA 2, 395 252 Las Vegas , NV Philadelphia, PA 2, 176 221 Sacramento, CA Seattle, WA 605 151 Atlanta, GA Orlando, FL 403 138 Boston, MA Miami , FL 1 , 258 209 Chicago, IL Covington, KY 264 254 Columbus, OH Minneapolis, MN 627 259 Fort Lauderdale, FL Los Angeles, CA 2, 342 215 Chicago, IL Indianapolis, IN 177 128 Philadelphia, PA San Francisco, CA 2 , 521 348 Houston, Raleigh/Durham, NC 1 , 050 224 Houston, TX Midland/Odessa, TX 441 175 Cleveland, OH Dallas/Ft. Worth, TX 1, 021 256 Baltimore, MD Columbus, OH 336 121 Boston, MA Covington, KY 752 252 Kansas City, MO San Diego, CA 1, 333 206 Milwaukee, WI Phoenix, AZ 1, 460 167 Portland, OR Washington, DC 2 , 350 308 Phoenix, AZ San Jose, CA 621 152 Baltimore, MD St. Louis, MO 737 175 Houston, Orlando, FL 853 191 Houston, Seattle, WA 1, 894 231 Burbank, CA New York, NY 2 , 465 251 Atlanta, GA San Diego, CA 1 , 891 291 Minneapolis, MN New York, NY 1 , 028 260 Atlanta, GA West Palm Beach, FL 545 123 Kansas City, MO Seattle, WA 1, 489 211 Baltimore, MD Portland, ME 452 139 New Orleans, LA Washington, DC 969 243

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