Estimate the following multiple regression models (remember that all of your independent variables will have to be in adjacent columns in Excel). Look at each set of results critically and consider how you would interpret the strengths and weaknesses of each model.

Estimate the following multiple regression models (remember that all of your independent variables will have to be in adjacent columns in Excel). Look at each set of results critically and consider how you would interpret the strengths and weaknesses of each model. Save your results from each model for use when completing the end-of-module assessment. 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 C: Burglary = f(%Unemploy, Rain, %youngmale)

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

State Burglary %Unemploy 877.8 ALABAMA 732.4 ARIZONA 1,030.1 ARKANSA 605.4 CALIFORN 476.1 COLORAD 358.5 CONNECTI 662.3 DELAWAR 710.5 FLORIDA 823.2 GEORGIA 411.9 IDAHO 452.1 ILLINOIS 653.0 INDIANA 513.5 IOWA 600.4 KANSAS 596.4 KENTUCK 890.4 LOUISIAN 488.1 MAINE 538.9 MARYLAN 459.2 MASSACHU 569.4 MICHIGAN 419.0 MINNESOT 835.6 MISSISSIPP 643.0 MISSOURI 400.3 MONTANA 476.3 NEBRASK 826.0 NEVADA 373.0 NEW HAMP 403.1 NEW JERS 1,029.9 NEW MEXI 287.2 NEW YOR 921.0 NORTH CA 405.6 NORTH DA 790.2 OHIO 866.1 OKLAHOM 528.5 OREGON 407.3 PENNSYLV 533.2 RHODE IS 857.8 SOUTH CA Rain %youngfe%youngmale 7.2 58.3 15.8% 16.7% 7.7 13.6 16.1% 17.3% 7.2 50.6 15.8% 16.6% 8.9 22.2 16.0% 16.9% 6.9 15.9 14.6% 15.5% 7.8 50.3 14.6% 16.0% 6.7 45.7 15.6% 16.5% 7.2 54.5 14.5% 15.6% 8.2 50.7 15.4% 16.7% 6.1 18.9 16.0% 16.6% 9 39.2 15.0% 15.9% 7.6 41.7 16.1% 16.9% 4.7 34 16.7% 17.4% 5.3 28.9 16.4% 17.6% 8 48.9 15.2% 16.1% 6.7 60.1 16.0% 16.7% 6.7 42.2 13.3% 14.3% 6.6 44.5 14.2% 15.6% 6.7 47.7 15.8% 16.5% 8.8 32.8 16.0% 16.9% 5 27.3 14.8% 15.2% 8.5 59 16.6% 17.7% 6.7 42.2 15.5% 16.4% 5.4 15.3 15.3% 16.5% 3.8 23.6 16.2% 16.8% 9.6 9.5 14.3% 14.6% 5.1 43.4 14.8% 15.4% 8.2 47.1 13.6% 14.9% 6.9 14.6 15.9% 17.1% 7 41.8 15.3% 16.3% 8 50.3 15.1% 16.8% 2.9 17.8 19.3% 20.3% 7.4 39.1 15.2% 16.0% 5.3 36.5 16.2% 17.1% 7.9 27.4 14.5% 15.1% 7.3 42.9 15.4% 16.1% 9.3 47.9 17.3% 17.8% 7.6 49.8 15.6% 17.2% SOUTH DA TENNESSE TEXAS UTAH VERMONT VIRGINIA WASHING WEST VIRG WISCONSI WYOMING 399.1 785.1 721.8 459.6 528.7 322.5 837.0 521.7 424.0 335.5 3.8 7.7 6.3 4.6 4.4 5.7 7 6.8 6.7 4.7 20.1 54.2 28.9 12.2 42.7 44.3 38.4 45.2 32.6 12.9 16.3% 16.9% 15.1% 16.0% 15.9% 17.0% 19.3% 19.4% 16.1% 17.4% 15.0% 16.1% 14.6% 15.5% 14.6% 15.4% 15.5% 15.9% 15.7% 16.4%