Question
A regression model to predict y the state by state burglary crime rate per 100,00 people used the following four state predictor X1 = median
A regression model to predict y the state by state burglary crime rate per 100,00 people used the following four state predictor X1 = median age in 2005, X2 = number of 2005 bankruptcies per 1,000 people, X3 = 2004 federal expenditures per capita, and X4 = 2005 high school graduation percentage.
Using the sample size of 50 people calculate the t-calc and the p-value in the tables given below
Abbrev | State | Burglary | AgeMed | Bankrupt | FedSpend | HSGrad% |
AL | Alabama | 986 | 37.4 | 10.57 | 8619 | 80.9 |
AK | Alaska | 576 | 33.9 | 3.48 | 12885 | 91.7 |
AZ | Arizona | 990 | 34.5 | 6.85 | 7309 | 85.7 |
AR | Arkansas | 1094 | 37.0 | 11.01 | 7080 | 81.4 |
CA | California | 685 | 34.4 | 4.63 | 6474 | 80.3 |
CO | Colorado | 717 | 34.7 | 9.37 | 6533 | 89.2 |
CT | Connecticut | 444 | 39.3 | 4.36 | 8649 | 90.0 |
DE | Delaware | 648 | 37.9 | 5.22 | 6326 | 86.8 |
FL | Florida | 956 | 39.5 | 6.16 | 7009 | 86.8 |
GA | Georgia | 940 | 34.3 | 9.13 | 6247 | 85.7 |
HI | Hawaii | 857 | 38.5 | 3.52 | 9651 | 87.3 |
ID | Idaho | 547 | 34.6 | 8.51 | 6437 | 89.1 |
IL | Illinois | 597 | 35.6 | 8.43 | 6043 | 87.3 |
IN | Indiana | 676 | 36.1 | 12.63 | 6079 | 87.2 |
IA | Iowa | 615 | 38.6 | 6.29 | 6505 | 89.9 |
KS | Kansas | 731 | 36.1 | 8.28 | 6993 | 91.4 |
KY | Kentucky | 625 | 37.5 | 9.67 | 7649 | 78.9 |
LA | Louisiana | 1005 | 35.4 | 8.10 | 7298 | 80.2 |
ME | Maine | 481 | 41.2 | 5.01 | 8248 | 87.2 |
MD | Maryland | 660 | 37.1 | 6.31 | 11645 | 87.0 |
MA | Massachusetts | 537 | 38.2 | 4.10 | 8279 | 87.5 |
MI | Michigan | 637 | 36.9 | 8.77 | 5981 | 88.5 |
MN | Minnesota | 550 | 36.7 | 4.98 | 5644 | 92.7 |
MS | Mississippi | 953 | 35.5 | 8.12 | 7695 | 79.9 |
MO | Missouri | 703 | 37.4 | 9.11 | 7947 | 85.4 |
MT | Montana | 379 | 40.2 | 6.32 | 8085 | 92.1 |
NE | Nebraska | 562 | 36.2 | 6.95 | 6751 | 89.7 |
NV | Nevada | 991 | 35.2 | 10.11 | 5469 | 86.6 |
NH | New Hampshire | 382 | 39.5 | 4.64 | 6124 | 91.9 |
NJ | New Jersey | 472 | 38.0 | 5.67 | 6353 | 87.0 |
NM | New Mexico | 1047 | 36.2 | 6.53 | 10437 | 81.0 |
NY | New York | 368 | 37.5 | 5.69 | 7484 | 85.6 |
NC | North Carolina | 1185 | 36.2 | 4.94 | 6467 | 84.0 |
ND | North Dakota | 301 | 39.1 | 5.57 | 9513 | 90.0 |
OH | Ohio | 846 | 37.6 | 11.82 | 6388 | 87.9 |
OK | Oklahoma | 1000 | 36.5 | 11.20 | 7562 | 85.2 |
OR | Oregon | 837 | 37.0 | 9.09 | 6084 | 88.7 |
PA | Pennsylvania | 439 | 39.7 | 6.35 | 7649 | 86.3 |
RI | Rhode Island | 506 | 38.4 | 5.37 | 7630 | 84.0 |
SC | South Carolina | 1034 | 37.1 | 3.66 | 7158 | 83.0 |
SD | South Dakota | 409 | 37.0 | 5.40 | 8564 | 88.5 |
TN | Tennessee | 1020 | 37.3 | 11.05 | 7701 | 81.8 |
TX | Texas | 979 | 33.2 | 5.32 | 6308 | 78.2 |
UT | Utah | 637 | 28.5 | 9.07 | 5728 | 92.7 |
VT | Vermont | 545 | 40.7 | 4.16 | 7456 | 90.0 |
VA | Virginia | 386 | 37.2 | 5.97 | 12150 | 86.1 |
WA | Washington | 977 | 36.7 | 7.56 | 7228 | 91.5 |
WV | West Virginia | 602 | 40.7 | 9.76 | 8364 | 82.4 |
WI | Wisconsin | 433 | 37.9 | 6.89 | 5728 | 90.5 |
WY | Wyoming | 541 | 39.1 | 6.44 | 8673 | 90.9 |
Predictor Coefficient SE Tcalc p-value
Intercept 4551.9569 798.4390
AgeMed -28.390 12.9414
Bankrupt 20.0435 12.5747
FedSpend -0.0180 0.0103
HSGrad % -29.2003 7.1716
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