Please help me interpret the following data through multiple regression. I can run the regression model through excel, but I am struggling with how to interpret the info for a project. I would very much appreciate some guidance.

Date	Unemployment Rate	Job losers not on temporary layoff	Job losers on temporary layoff	Job leavers	Reentrants	New entrants	Duration Less than 5 weeks	Duration 5-14 weeks	Duration 15-26 weeks	Duration 27 weeks and over	New Cases	Total Cases
Nov-19	3.6	1,987,000	820,000	769,000	1,693,000	567,000	2,063,000	1,742,000	910,000	1,178,000	0	0
Dec-19	3.6	1,959,000	821,000	833,000	1,662,000	571,000	2,102,000	1,777,000	830,000	1,183,000	0	0
Jan-20	3.5	1,948,000	607,000	835,000	1,909,000	567,000	2,016,000	1,758,000	863,000	1,195,000	12	12
Feb-20	3.5	1,916,000	776,000	766,000	1,831,000	510,000	2,099,000	1,811,000	778,000	1,114,000	59	71
Mar-20	4.4	2,158,000	2,094,000	709,000	1,759,000	545,000	3,422,000	1,824,000	728,000	1,182,000	68657	68728
Apr-20	14.7	2,556,000	18,015,000	549,000	1,475,000	408,000	14,232,000	7,066,000	680,000	997,000	976702	1045430
May-20	13.2	2,996,000	15,298,000	546,000	1,636,000	524,000	3,886,000	14,806,000	1,009,000	1,199,000	653057	1698487
Jun-20	11	3,565,000	10,614,000	560,000	2,262,000	571,000	2,915,000	11,522,000	1,942,000	1,339,000	666388	2364875
Jul-20	10.2	3,726,000	9,214,000	588,000	2,302,000	527,000	3,142,000	5,145,000	6,512,000	1,509,000	2035020	4399895
Aug-20	8.4	4,076,000	6,145,000	614,000	2,052,000	550,000	2,348,000	3,105,000	6,580,000	1,570,000	1401174	5801069
Sep-20	7.9	4,424,000	4,592,000	805,000	2,110,000	538,000	2,549,000	2,735,000	4,958,000	2,413,000	1415802	7216871
Oct-20	6.9	4,545,000	3,210,000	764,000	2,005,000	515,000	2,490,000	2,342,000	2,671,000	3,548,000	1639610	8856481
Nov-20	6.7	4,626,000	2,806,000	689,000	1,975,000	552,000	2,483,000	2,440,000	1,904,000	3,903,000	3995828	12852309
Dec-20	6.7	4,260,000	3,082,000	758,000	2,234,000	505,000	2,915,000	2,344,000	1,578,000	3,963,000	7001758	19854067
Jan-21	6.3	4,227,000	2,705,000	654,000	2,055,000	563,000	2,250,000	2,484,000	1,321,000	4,055,000	5841637	25695704
Feb-21	6.2	4,337,000	2,259,000	707,000	2,178,000	594,000	2,211,000	2,254,000	1,370,000	4,146,000	2701558	28397262
Mar-21	6.1	4,198,000	2,086,000	769,000	2,258,000	506,000	2,178,000	1,950,000	1,336,000	4,216,000	2068108	30465370
Apr-21	6.1	4,191,000	2,072,000	819,000	2,118,000	580,000	2,377,000	2,011,000	1,137,000	4,170,000	1770794	32236164
May-21	5.8	3,998,000	1,829,000	786,000	2,174,000	506,000	2,018,000	2,199,000	1,243,000	3,761,000	955827	33191991
Jun-21	5.9	3,923,000	1,814,000	944,000	2,253,000	501,000	2,005,000	2,240,000	1,353,000	3,970,000	477135	33669126
Jul-21	5.4	3,705,000	1,220,000	926,000	2,297,000	470,000	2,246,000	1,763,000	1,200,000	3,446,000	1028336	34697462
Aug-21	5.2	3,230,000	1,213,000	827,000	2,439,000	524,000	2,116,000	1,885,000	1,245,000	3,124,000	3580775	38278237
Sep-21	4.8	2,933,000	1,094,000	789,000	2,262,000	498,000	2,240,000	1,740,000	1,041,000	2,682,000	5050996	43329233
Oct-21	4.5	2,664,000	1,026,000	844,000	2,175,000	532,000	2,075,000	1,852,000	1,021,000	2,327,000	2359118	45688351
Nov-21	4.2	2,482,000	870,000	839,000	2,142,000	422,000	1,985,000	1,708,000	906,000	2,156,000	2325175	48013526
Dec-21	3.9	2,288,000	801,000	725,000	2,024,000	508,000	1,989,000	1,593,000	799,000	1,989,000	5552473	53565999
Jan-22	4	2,265,000	952,000	953,000	1,995,000	438,000	2,428,000	1,619,000	819,000	1,683,000	19639704	73205703
Feb-22	3.8	2,125,000	879,000	964,000	1,971,000	429,000	2,142,000	1,803,000	726,000	1,691,000	5697513	78903216
Mar-22	3.6	2,057,000	784,000	789,000	1,992,000	472,000	2,303,000	1,688,000	552,000	1,429,000	1242647	80145863
Apr-22	3.6	1,993,000	857,000	794,000	1,856,000	516,000	2,242,000	1,630,000	526,000	1,474,000	1091619	81237482
May-22	3.6	1,916,000	815,000	766,000	1,944,000	530,000	2,052,000	1,771,000	687,000	1,349,000	2522180	83759662
Jun-22	3.6	1,802,000	832,000	833,000	1,979,000	466,000	2,259,000	1,576,000	777,000	1,337,000	3657141	87416803
Jul-22	3.5	1,814,000	802,000	843,000	1,822,000	465,000	2,086,000	1,769,000	734,000	1,093,000	3468031	90884834
Aug-22	3.7	1,898,000	796,000	897,000	1,833,000	451,000	2,227,000	1,797,000	887,000	1,165,000	3570418	94455252
Sep-22	3.5	1,758,000	772,000	904,000	1,834,000	460,000	2,158,000	1,643,000	901,000	1,089,000	1735327	96190579
Oct-22	3.7	1,842,000	853,000	861,000	1,873,000	494,000	2,215,000	1,774,000	817,000	1,169,000	1108365	97298944
Nov-22	3.6	1,956,000	806,000	829,000	1,798,000	558,000	2,244,000	1,694,000	821,000	1,215,000	1463345	98762289
Dec-22	3.5	1,815,000	814,000	825,000	1,767,000	497,000	2,233,000	1,639,000	826,000	1,069,000	1848084	100610373