Part II. Researchers at General Motors collected data on 50 U.S. Standard Metropolitan Statistical Areas (SMSA's) in a study of whether air pollution contributions to mortality. The data include variables measuring demographic characteristics of the cities, variables measuring climate characteristics, and variables recording the pollution potential of three different air pollutants: hydrocarbons (HC), nitrous oxide (NOx), and sulfur dioxide (SO2). See more description of the variables in the following table. Data ("airpollution50.txt") are provided on iCollege.

Mort Rain Educ NonWht HC NOx SO2 City 921.87 36 11.4 8.8 21 15 59 Akron, OH 997.87 35 11 3.5 8 10 39 Albany-Schenectady-Troy, NY 962.35 44 9.8 0.8 6 6 33 Allentown, Bethlehem,PA-NJ 982.29 47 11.1 27.1 18 8 24 Atlanta, GA 1071.29 43 9.6 24.4 43 38 206 Baltimore, MD 1030.38 53 10.2 38.5 30 32 72 Birmingham, AL 934.7 43 12.1 3.5 21 32 62 Boston, MA 899.53 45 10.6 5.3 6 4 4 Bridgeport-Milford, CT 1001.9 36 10.5 8.1 18 12 37 Buffalo, NY 912.35 36 10.7 6.7 12 7 20 Canton, OH 1017.61 52 9.6 22.2 18 8 27 Chattanooga, TN-GA 1024.89 33 10.9 16.3 88 63 278 Chicago, IL 970.47 40 10.2 13 26 26 146 Cincinnati, OH-KY-IN 985.95 35 11.1 14.7 31 21 64 Cleveland, OH 936.23 36 11.4 12.4 6 4 16 Dayton-Springfield, OH 871.77 15 12.2 4.7 17 8 28 Denver, CO 959.22 31 10.8 15.8 52 35 124 Detroit, MI 941.18 30 10.8 13.1 11 4 11 Flint, MI 871.34 31 10.9 5.1 5 3 10 Grand Rapids,MI 971.12 42 10.4 22.7 8 3 5 Greensboro-Winston-Salem-High Point,NC 887.47 43 11.5 7.2 7 3 10 Hartford, CT 952.53 46 11.4 21 6 5 1 Houston, TX 968.67 39 11.4 15.6 13 7 33 Indianapolis, IN 919.73 35 12 12.6 7 4 4 Kansas City,MO 844.05 43 9.5 2.9 11 7 32 Lancaster, PA 861.26 11 12.1 7.8 648 319 130 Los Angeles,Long Beech, CA 1006.49 50 10.4 36.7 15 18 34 Memphis, TN-AR-MS 861.44 60 11.5 13.5 3 1 1 Miami-Hialeah, FL 929.15 30 11.1 5.8 33 23 125 Milwaukee, WI 857.62 25 12.1 2 20 11 26 Minneapolis-St. Paul,MN-WI 961.01 45 10.1 21 17 14 78 Nashville, TN 923.23 46 11.3 8.8 4 3 8 New Haven-Meriden,CT 1113.16 54 9.7 31.4 20 17 1 New Orleans,LA 994.65 42 10.7 11.3 41 26 108 New York,NY 1015.02 42 10.5 17.5 29 32 161 Philadelphia, PA-NJ 991.29 36 10.6 8.1 45 59 263 Pittsburgh, PA 893.99 37 12 3.6 56 21 44 Portland, OR 946.19 41 9.6 2.7 11 11 89 Reading, PA 874.28 32 11.1 5 7 4 18 Rochester, NY 953.56 34 9.7 17.2 31 15 68 St. Louis,MO-IL 839.71 10 12.1 5.9 144 66 20 San Diego,CA 911.7 18 12.2 13.7 311 171 86 San Francisco,CA 790.73 13 12.2 3 105 32 3 San Jose,CA 899.26 35 12.2 5.7 20 7 20 Seattle, WA 904.16 45 11.1 3.4 5 1 20 Springfield, MA 950.67 38 11.4 3.8 8 5 25 Syracuse, NY 972.46 31 10.7 9.5 11 7 25 Toledo, OH 912.2 40 10.3 2.5 5 2 11 Utica-Rome, NY 967.8 42 12.3 25.9 65 28 102 Washington, DC-MD-VA 823.76 28 12.1 7.5 4 2 1 Wichita, KS

Determine the least-square estimates of the slope and intercept for each of the following straight-line regressions:

Model 1: Mort on Rain, Edu, and NonWht; Model 2: Mort on Rain, Edu, NonWht, and SO2; Model 3: Mort on Rain, Edu, NonWht, HC, NOx, and SO2.