Estimate the following multiple regression models. Look at each set of results critically and consider how you would interpret the strengths and weaknesses of each model.Use "Burglary" as your dependent variable in each model. The notation f(X, Y, Z) means "a function of X, Y, Z; i.e., X, Y, and Z are your independent variables.

Model A: Burglary = f(Assault, Population, %Poverty)

Model B: Burglary = f(%Unemploy, Rain, %young)

Model C: Burglary = f(%Unemploy, Rain, %youngmale)

Model D: Burglary = f(%Unemploy, Rain, %youngfemale)

Model E: Burglary = f(PerCapIncome, %Bachelors, %Metro, Rain)

Model F: Burglary = f(PerCapIncome, % Bachelors, %Metro, Temp)

Model G: Burglary = f(PerCapIncome, % Bachelors, %Metro, Sun)

Table 5, Crime in the United States by State, Rate per 100,000 inhabitants State Murder and Aggrav Violent nonnegligent ated Property Larceny crime manslaughter Robbery assault crime Burglary -theft State ALABAMA ARIZONA ARKANSAS CALIFORNIA COLORADO CONNECTICUT DELAWARE FLORIDA GEORGIA IDAHO ILLINOIS INDIANA IOWA KANSAS KENTUCKY LOUISIANA MAINE MARYLAND MASSACHUSETTS MICHIGAN MINNESOTA MISSISSIPPI MISSOURI MONTANA NEBRASKA NEVADA NEW HAMPSHIRE NEW JERSEY NEW MEXICO NEW YORK NORTH CAROLINA NORTH DAKOTA OHIO OKLAHOMA OREGON PENNSYLVANIA RHODE ISLAND SOUTH CAROLINA SOUTH DAKOTA TENNESSEE Violent 430.8 416.5 460.3 402.1 308.0 262.5 491.4 470.4 365.7 217.0 380.2 357.4 271.4 339.9 209.8 518.5 129.3 473.8 413.4 449.9 234.4 274.6 433.4 252.9 262.1 603.0 215.3 288.5 613.0 393.7 342.2 270.1 286.2 441.2 254.0 335.4 257.2 508.5 316.5 590.6 Murder 7.2 5.4 5.4 4.6 3.4 2.4 4.2 5.0 5.6 1.7 5.5 5.4 1.4 3.9 3.8 10.8 1.8 6.4 2.0 6.4 2.1 6.5 6.1 2.2 3.1 5.8 1.7 4.5 6.0 3.3 4.8 2.2 3.9 5.1 2.0 4.7 2.9 6.2 2.4 5.0 Robbery Assault PropCrime Burglary Larceny 96.2 285.2 3,351.3 877.8 2,254.8 101.1 263.9 3,399.1 732.4 2,403.5 76.3 330.5 3,602.6 1,030.1 2,380.6 139.9 232.3 2,658.1 605.4 1,621.5 59.8 189.1 2,658.5 476.1 1,944.5 98.2 135.4 1,974.1 358.5 1,442.6 132.4 313.7 3,065.5 662.3 2,259.4 118.7 312.3 3,105.3 710.5 2,216.3 125.0 209.3 3,346.6 823.2 2,254.9 13.6 161.0 1,864.3 411.9 1,357.1 137.6 204.0 2,274.3 452.1 1,659.8 108.2 211.3 2,854.0 653.0 1,984.9 30.4 204.6 2,193.9 513.5 1,543.0 46.6 248.1 2,946.8 600.4 2,117.0 73.9 95.5 2,362.9 596.4 1,629.3 119.9 352.8 3,582.0 890.4 2,493.6 25.2 68.7 2,292.2 488.1 1,735.3 169.5 272.0 2,663.5 538.9 1,898.3 100.2 270.5 2,051.2 459.2 1,455.7 102.1 274.8 2,327.6 569.4 1,510.0 67.8 127.5 2,420.4 419.0 1,854.4 80.5 156.5 2,724.7 835.6 1,742.3 90.7 298.7 3,137.0 643.0 2,223.9 20.1 190.2 2,556.5 400.3 1,974.0 55.7 160.5 2,623.4 476.3 1,908.2 185.8 360.6 2,837.7 826.0 1,653.4 49.0 112.7 2,194.3 373.0 1,750.3 135.8 135.6 1,882.8 403.1 1,325.2 86.8 449.9 3,704.8 1,029.9 2,391.8 138.6 234.7 1,824.8 287.2 1,458.8 94.9 218.4 3,128.0 921.0 2,058.7 22.4 199.9 2,094.0 405.6 1,492.7 124.2 123.2 2,927.5 790.2 1,968.5 78.7 300.8 3,273.7 866.1 2,116.4 61.0 142.7 3,173.9 528.5 2,394.5 115.6 185.7 2,060.8 407.3 1,545.6 65.0 147.4 2,442.0 533.2 1,696.4 83.2 373.6 3,624.2 857.8 2,502.9 18.8 236.2 1,914.7 399.1 1,404.6 112.5 436.9 3,180.9 785.1 2,213.7 TEXAS UTAH VERMONT VIRGINIA WASHINGTON WEST VIRGINIA WISCONSIN WYOMING 408.3 224.0 121.1 196.2 289.1 300.3 277.9 205.1 4.3 1.7 1.6 3.8 2.3 3.3 2.8 2.9 120.2 42.8 11.6 55.3 83.5 35.1 84.2 12.9 246.9 130.4 87.1 109.7 166.4 226.7 161.6 157.2 3,258.2 2,950.4 2,214.2 2,065.9 3,710.3 2,103.9 2,188.7 2,198.4 721.8 459.6 528.7 322.5 837.0 521.7 424.0 335.5 2,287.8 2,233.4 1,632.2 1,640.1 2,465.9 1,478.9 1,636.0 1,763.6 Non-crime variables; units are as specified in row 2 descriptors Motor vehicle theft CarTheft 218.7 263.2 191.9 431.2 237.9 173.0 143.9 178.6 268.5 95.3 162.5 216.2 137.4 229.5 137.2 198.0 68.8 226.3 136.3 248.3 147.0 146.7 270.1 182.2 238.9 358.3 71.0 154.5 283.2 78.8 148.3 195.7 168.8 291.2 250.9 107.8 212.4 263.5 111.0 182.1 Total state population Per capita unemployment average average# of % below p Population PerCapInc %Unemploy Rain Temp Sun %Poverty 4,833,722 32448 7.2 58.3 62.8 99 16.2 6,626,624 32997 7.7 13.6 60.3 193 16.1 2,959,373 32509 7.2 50.6 60.4 123 16 38,332,521 41932 8.9 22.2 59.4 146 13.9 5,268,367 41137 6.9 15.9 45.1 136 8.5 3,596,080 53842 7.8 50.3 49 82 9.8 925,749 38891 6.7 45.7 55.3 97 11.6 19,552,860 36601 7.2 54.5 70.7 101 13 9,992,167 33111 8.2 50.7 63.5 112 15.4 1,612,136 32348 6.1 18.9 44.4 120 11.1 12,882,135 40584 9 39.2 51.8 95 12.1 6,570,902 35171 7.6 41.7 51.7 88 11.8 3,090,416 38702 4.7 34 47.8 105 9.8 2,893,957 41139 5.3 28.9 54.3 128 11.2 4,395,295 31960 8 48.9 55.6 93 15.2 4,625,470 36241 6.7 60.1 66.4 101 20.2 1,328,302 35617 6.7 42.2 41 101 12.7 5,928,814 45652 6.6 44.5 54.2 105 7.1 6,692,824 48472 6.7 47.7 47.9 98 9.6 9,895,622 34853 8.8 32.8 44.4 71 11.1 5,420,380 40924 5 27.3 41.2 95 8.7 2,991,207 30608 8.5 59 63.4 111 21.1 6,044,171 35625 6.7 42.2 54.5 115 13 1,015,165 35379 5.4 15.3 42.7 82 11.7 1,868,516 41135 3.8 23.6 48.8 117 9.6 2,790,136 34855 9.6 9.5 49.9 158 10.1 1,323,459 46653 5.1 43.4 43.8 90 6.4 8,899,339 47893 8.2 47.1 52.7 94 9.4 2,085,287 31574 6.9 14.6 53.4 167 17.8 19,651,127 45620 7 41.8 45.4 63 11.9 9,848,060 33682 8 50.3 59 109 13.6 723,393 49385 2.9 17.8 40.4 93 11.1 11,570,808 36175 7.4 39.1 50.7 72 13.7 3,850,568 38648 5.3 36.5 59.6 139 14.6 3,930,065 34606 7.9 27.4 48.4 68 11.8 12,773,801 40849 7.3 42.9 48.8 87 11.1 1,051,511 41149 9.3 47.9 50.1 98 11.4 4,774,839 31843 7.6 49.8 62.4 115 14.1 844,877 40864 3.8 20.1 45.2 104 14.5 6,495,978 35690 7.7 54.2 57.6 102 14.9 248.6 257.3 53.3 103.3 407.4 103.3 128.6 99.2 26,448,193 2,900,872 626,630 8,260,405 6,971,406 1,854,304 5,742,713 582,658 39023 32206 41062 42480 43003 31328 37876 46876 6.3 4.6 4.4 5.7 7 6.8 6.7 4.7 28.9 12.2 42.7 44.3 38.4 45.2 32.6 12.9 64.8 48.6 42.9 55.1 48.3 51.8 43.1 42 135 125 58 100 58 60 89 114 13.8 8.6 9.6 11.4 11 18 10.7 10.9 % 18-24/18-64, % male 18-24/18% female 18-2 Median age Median age, MaleMedian age, % 25 years %young %youngmale %youngfemaMedianAge MedAgeMale MedAgeFema%Bachelo 16.2% 16.7% 15.8% 38.4 36.9 39.8 23.5% 16.7% 17.3% 16.1% 36.8 35.5 38.1 27.4% 16.2% 16.6% 15.8% 37.7 36.3 39 20.6% 16.4% 16.9% 16.0% 35.8 34.6 37 31.0% 15.0% 15.5% 14.6% 36.5 35.5 37.5 37.8% 15.3% 16.0% 14.6% 40.6 38.8 42.1 37.2% 16.0% 16.5% 15.6% 39.5 37.9 41 29.8% 15.0% 15.6% 14.5% 41.5 40 42.9 27.2% 16.0% 16.7% 15.4% 36 34.7 37.3 28.3% 16.3% 16.6% 16.0% 35.4 34.6 36.2 26.2% 15.5% 15.9% 15.0% 37.2 35.9 38.6 32.1% 16.5% 16.9% 16.1% 37.3 36 38.6 23.8% 17.0% 17.4% 16.7% 38 36.6 39.4 26.4% 17.0% 17.6% 16.4% 36.1 34.8 37.4 31.1% 15.7% 16.1% 15.2% 38.4 37 39.8 22.6% 16.3% 16.7% 16.0% 36.1 34.8 37.4 22.5% 13.8% 14.3% 13.3% 43.8 42.6 45 28.2% 14.9% 15.6% 14.2% 38.3 36.6 39.8 37.4% 16.1% 16.5% 15.8% 39.3 37.8 40.8 40.3% 16.5% 16.9% 16.0% 39.5 38.1 40.9 26.9% 15.0% 15.2% 14.8% 37.7 36.6 38.7 33.5% 17.1% 17.7% 16.6% 36.5 35 37.9 20.4% 16.0% 16.4% 15.5% 38.2 36.7 39.6 27.0% 15.9% 16.5% 15.3% 39.9 38.7 41.1 29.0% 16.5% 16.8% 16.2% 36.2 35.1 37.4 29.4% 14.5% 14.6% 14.3% 37.3 36.7 37.9 22.5% 15.1% 15.4% 14.8% 42.4 41.4 43.3 34.6% 14.3% 14.9% 13.6% 39.4 37.8 41 36.6% 16.5% 17.1% 15.9% 36.9 35.5 38.4 26.4% 15.8% 16.3% 15.3% 38.2 36.6 39.8 34.1% 15.9% 16.8% 15.1% 38.1 36.6 39.5 28.4% 19.8% 20.3% 19.3% 35.3 34.2 36.7 27.1% 15.6% 16.0% 15.2% 39.2 37.7 40.7 26.1% 16.7% 17.1% 16.2% 36.2 34.9 37.5 23.8% 14.8% 15.1% 14.5% 38.9 37.9 40.1 30.7% 15.8% 16.1% 15.4% 40.6 38.9 42.1 28.7% 17.5% 17.8% 17.3% 39.9 38.1 41.6 32.4% 16.4% 17.2% 15.6% 38.6 37 40.1 26.1% 16.6% 16.9% 16.3% 36.7 35.6 37.9 26.6% 15.5% 16.0% 15.1% 38.5 37.1 39.8 24.8% 16.5% 19.4% 16.7% 15.5% 15.0% 15.0% 15.7% 16.0% 17.0% 19.4% 17.4% 16.1% 15.5% 15.4% 15.9% 16.4% 15.9% 19.3% 16.1% 15.0% 14.6% 14.6% 15.5% 15.7% 34 30.1 42.4 37.7 37.6 41.8 38.9 36.8 33.1 29.6 41.1 36.4 36.5 40.5 37.8 36.1 35 30.6 43.5 39 38.6 43 40.1 37.6 27.5% 31.3% 35.7% 36.1% 32.7% 18.9% 27.7% 26.6% % of state popul% living in same house one year ago %Metro 76.0% 94.8% 61.1% 97.8% 87.0% 94.8% 100.0% 96.4% 82.3% 66.2% 88.3% 77.6% 58.3% 67.1% 58.2% 83.4% 58.8% 97.4% 98.5% 81.8% 77.2% 45.5% 74.3% 35.4% 64.2% 90.3% 62.5% 100.0% 66.7% 92.9% 77.6% 49.2% 79.5% 66.7% 83.4% 88.3% 100.0% 84.2% 47.3% 77.1% %SameHouse 85.5 81.7 84.2 85.7 81.1 87.8 86.7 83.9 84 82.5 86.7 84.9 84.6 83.5 84.5 86.5 86.3 86.5 87.1 85.3 85.5 86.1 84 83.5 83.9 79.7 85.9 90.1 85.9 89.3 84.7 82.3 85.1 82.7 81.9 87.8 86.5 84.9 83.3 84.9 88.6% 89.3% 34.3% 87.2% 89.8% 61.4% 73.8% 30.4% 83.5 82.9 86.4 84.3 82.5 88.2 85.6 81.6