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 A regression model to predict Y, the state burglary rate per 100,000 people, used the following four state predictors: X1 = median age, X2 = number of bankruptcies per 1,000 population, X3 = federal expenditures per capita (a leading predictor), and X4 = high school graduation percentage. Using the sample size of 50 people, calculate the tcalc and p-value in the table given below. (Negative values should be indicated by a minus sign. Leave no cells blank - be certain to enter "0" wherever required. Round your t-values to 3 decimal places and p-values to 4 decimal places.) Predictor Coefficient SE t-Calc p-value Intercept 4,808.2084 799.0722 AgeMed -28.9440 12.5026 Bankrupt 15.3903 12.3328 FedSpend -0.0148 0.0118 HSGrad5 -28.7834 7.1964

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 A regression model to predict Y, the state burglary rate per 100,000 people, used the following four state predictors: X1 = median age, X2 = number of bankruptcies per 1,000 population, X3 = federal expenditures per capita (a leading predictor), and X4 = high school graduation percentage. Using the sample size of 50 people, calculate the tcalc and p-value in the table given below. (Negative values should be indicated by a minus sign. Leave no cells blank - be certain to enter "0" wherever required. Round your t-values to 3 decimal places and p-values to 4 decimal places.) Predictor Coefficient SE t-Calc p-value Intercept 4,808.2084 799.0722 AgeMed -28.9440 12.5026 Bankrupt 15.3903 12.3328 FedSpend -0.0148 0.0118 HSGrad5 -28.7834 7.1964

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section11.4: Collecting Data

Problem 2E

See similar textbooks

Related questions

Question

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

A regression model to predict Y, the state burglary rate per 100,000 people, used the following four state predictors: X₁ = median age, X₂ = number of bankruptcies per 1,000 population, X₃ = federal expenditures per capita (a leading predictor), and X₄ = high school graduation percentage.

Using the sample size of 50 people, calculate the tcalc and p-value in the table given below. (Negative values should be indicated by a minus sign. Leave no cells blank - be certain to enter "0" wherever required. Round your t-values to 3 decimal places and p-values to 4 decimal places.)

Predictor	Coefficient	SE	t-Calc	p-value
Intercept	4,808.2084	799.0722
AgeMed	-28.9440	12.5026
Bankrupt	15.3903	12.3328
FedSpend	-0.0148	0.0118
HSGrad5	-28.7834	7.1964

Expert Solution

Trending now

This is a popular solution!

Step by step

Solved in 2 steps

SEE SOLUTION Check out a sample Q&A here