Please help me solve this question for further questions like these. I need a full explanation for the answers you give so I can figure questions like these on my own. A regression model to predict Y, the state burglary rate per 100,000 people for 2005 used the following for state predictors 1, X1 = median use in 2005, X2 = number of 2005 bankruptcies, X3 = 2004 federal expenditures per capita (a leading predictor and X4 = 2005 highschool graduation percentage) Fill in the values in the table given here for a two-tailed test at a = .01 with 30 d.f. (negative values should be indicated by a minus sign. leave no cells blank-be certain to enter 0 whenever required. round your t-values to 3 decimal places and p-values to 4 decimal places)

predictor	coefficient	SE	tcalc	p-value
intercept	4029.2433	792.2866
AgeMed	-27.081	12.1421
Bankrupt	19.0812	12.8085
Fed Spend	-.0182	.0140
HS Grad %	-27.2539	7.1758

What is the critical value of student-t in appendix D for a two-tailed test at a = .01 with 30 d.f. (round your answer to 3 decimal places)

APPENDIX D

confidence level

.80 .90 .95 .98 .99

significance level for two-tailed test

.20 .10 .05 .02 .01

significance level for one-tailed test

d.f. .10 .05 .025 .01 .005

d.f.	.10	.05	.025	.01	.005
1	3078	6.314	12.706	31.821	63.657
2	1.886	2.920	4.303	6.965	9.925
3	1.638	2.353	3.182	4.541	5.841
4	1.533	2.132	2.776	.747	4.604
5	1.476	2.015	2.571	3.365	4.032
6	1.440	1.943	2.447	3.143	3.707
7	1.415	1.895	2.365	2.998	3.499
8	1.397	1.860	2.306	2.896	3.55
9	1.383	1.833	2.262	2.821	3.250
10	1.372	1.812	2.228	2.764	3.169
11	1.363	1.796	2.201	2.718	3.106
12	1.356	1.782	2.179	2.681	3.055
13	1.350	1.771	2.160	2.650	3.012
14	1.345	1.761	2.145	2.624	2.977
15	1.341	1.753	2.131	2.602	2.947
16	1.337	1.746	2.120	2.583	2.921
17	1.333	1.740	2.110	2.567	2.898
18	1.330	1.734	2.101	2.552	2.878
19	1.328	1.729	2.093	2.530	2.861
20	1.325	1.725	2.086	2.528	2.845
21	1.323	1.721	2.080	2.518	2.831
22	1.321	1.717	2.074	2.508	2.819
23	1.319	1.714	2.069	2.500	2.807
24	1.319	1.711	2.064	2.492	2.797
25	1.316	1.708	2.060	2.485	2.787
26	1.315	1.706	2.056	2.479	2.779
27	1.314	1.703	2.052	2.473	2.771
28	1.313	1.701	2.048	2.467	2.763
29	1.311	1.699	2.045	2.462	2.756
30	1.310	1.697	2.042	2.457	2.750
31	1.309	1.696	2.040	2.453	2.744
32	1.309	1.694	2.037	2.449	2.738
33	1.308	1.692	2.035	2.445	2.733
34	1.307	1.691	2.032	2.441	2.728
35	1.306	1.690	2.030	2.438	2.724

confidence level

.80 .90 .95 .98 .99

significance level for two-tailed test

.20 .10 .05 .02 .01

significance level for one-tailed test

.10 .05 .025 .01 .005

d.f.	.10	.05	.025	.01	.005
36	1.306	1.688	2.028	2.434	2.719
37	1.305	1.687	2.026	2.431	2.715
38	1.304	1.686	2.024	2.429	2.712
39	1.304	1.685	2.023	2.426	2.708
40	1.303	1.84	2.021	2.423	2.704
41	1.303	1.683	2.020	2.421	2.701
42	1.302	1.682	2.018	2.418	2.698
43	1.302	1.681	2.017	2.416	2.695
44	1.301	1.680	2.015	2.141	2.692
45	1.301	1.679	2.014	2.412	2.690
46	1.300	1.679	2.013	2.410	2.687
47	1.300	1.678	2.012	2.408	2.685
48	1.299	1.677	2.011	2.407	2.682
49	1.299	1.677	2.010	2.405	2.680
50	1.299	1.676	2.009	2.403	2.678
55	1.297	1.673	2.004	2.396	2.668
60	1.296	1.671	2.000	2.390	2.660
65	1.295	1.669	1.997	2.385	2.654
70	1.294	1.667	1.994	2.381	2.648
75	1.293	1.665	1.992	2.377	2.643
80	1.292	1.664	1.990	2.374	2.639
85	1.292	1.663	1.988	2.371	2.635
90	1.291	1.662	1.987	2.368	2.632
95	1.291	1.661	1.985	6.366	2.629
100	1.290	1.660	1.984	2.364	2.626
110	1.289	1.659	1.982	2.361	2.621
120	1.289	1.658	1.980	2.358	2.617
130	1.288	1.657	1.978	2.355	2.614
140	1.287	1.655	1.976	2.351	2.609
150	1.287	1.655	1.976	2.351	2.609
00	1.282	1.645	1.960	2.326	2.576