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PROJ.C.MAKWANA.xlsx

Sheet1

State FIPS State 116th Congressional District 2017 NAICS Code NAICS Description Number of Establishments Employment Employment Noise Flag 1st Quarter Payroll ($1,000) 1st Quarter Payroll Noise Flag Annual Payroll ($1,000) Annual Payroll Noise Flag
01 Alabama 01 0 Total for all sectors 15,921 244,615 G 2,492,282 G 10,417,508 G
01 Alabama 01 11---- Agriculture, forestry, fishing and hunting 142 1,127 G 10,591 G 44,855 G
01 Alabama 01 21---- Mining, quarrying, and oil and gas extraction 34 500 G 10,491 H 41,785 H
01 Alabama 01 22---- Utilities 56 1,618 G 46,260 H 151,722 H
01 Alabama 01 23---- Construction 1,367 16,277 G 194,035 G 855,500 G
01 Alabama 01 31---- Manufacturing 568 27,761 G 477,179 G 1,897,405 G
01 Alabama 01 42---- Wholesale trade 857 10,723 G 152,635 G 607,774 G
01 Alabama 01 44---- Retail trade 2,811 37,463 G 248,940 G 1,015,434 G
01 Alabama 01 48---- Transportation and warehousing 574 9,862 G 114,653 G 487,821 G
01 Alabama 01 51---- Information 284 4,229 G 64,288 G 254,116 G
01 Alabama 01 52---- Finance and insurance 1,184 9,273 G 139,135 G 589,963 G
01 Alabama 01 53---- Real estate and rental and leasing 867 4,411 G 39,547 G 172,784 G
01 Alabama 01 54---- Professional, scientific, and technical 1,432 12,406 G 201,202 G 828,587 G
01 Alabama 01 55---- Management of companies and enterprises 105 3,216 G 67,676 G 326,639 H
01 Alabama 01 56---- Administrative and support and waste 776 20,049 G 142,193 H 624,241 H
01 Alabama 01 61---- Educational services 149 5,247 H 35,641 H 151,186 H
01 Alabama 01 62---- Health care and social assistance 1,418 32,773 G 336,896 G 1,468,707 G
01 Alabama 01 71---- Arts, entertainment, and recreation 207 3,514 G 12,609 G 55,387 G
01 Alabama 01 72---- Accommodation and food services 1,408 31,656 G 122,659 G 533,285 G
01 Alabama 01 81---- Other services (except public administration) 1,663 12,472 G 75,566 G 309,828 G

Sheet1 (2)

State FIPS State 116th Congressional District Number of Establishments Employment 1st Quarter Payroll ($1,000) Annual Payroll ($1,000) 2017 NAICS Code
01 Alabama 01 15,921 244,615 2,492,282 10,417,508 0.00
01 Alabama 01 142 1,127 10,591 44,855 11.00
01 Alabama 01 34 500 10,491 41,785 21.00
01 Alabama 01 56 1,618 46,260 151,722 22.00
01 Alabama 01 1,367 16,277 194,035 855,500 23.00
01 Alabama 01 568 27,761 477,179 1,897,405 31.00
01 Alabama 01 857 10,723 152,635 607,774 42.00
01 Alabama 01 2,811 37,463 248,940 1,015,434 44.00
01 Alabama 01 574 9,862 114,653 487,821 48.00
01 Alabama 01 284 4,229 64,288 254,116 51.00
01 Alabama 01 1,184 9,273 139,135 589,963 52.00
01 Alabama 01 867 4,411 39,547 172,784 53.00
01 Alabama 01 1,432 12,406 201,202 828,587 54.00
01 Alabama 01 105 3,216 67,676 326,639 55.00
01 Alabama 01 776 20,049 142,193 624,241 56.00
01 Alabama 01 149 5,247 35,641 151,186 61.00
01 Alabama 01 1,418 32,773 336,896 1,468,707 62.00
01 Alabama 01 207 3,514 12,609 55,387 71.00
01 Alabama 01 1,408 31,656 122,659 533,285 72.00
01 Alabama 01 1,663 12,472 75,566 309,828 81.00

Sheet3

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.9895121661
R Square 0.9791343269
Adjusted R Square 0.9735701474
Standard Error 560.3777872896
Observations 20
ANOVA
df SS MS F Significance F
Regression 4 221035973.582687 55258993.3956717 175.97101758 2.08E-12
Residual 15 4710348.96731308 314023.264487539
Total 19 225746322.55
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 80.1812524867 402.4223749589 0.1992465068 0.8447456304 -777.5617357425 937.924240716 -777.5617357425 937.924240716
Emplyment 0.0710855628 0.0194623813 3.6524596782 0.0023579281 0.0296024791 0.1125686465 0.0296024791 0.1125686465
1st Quarter payroll -0.0062043841 0.0169697307 -0.3656147653 0.719757128 -0.0423745089 0.0299657407 -0.0423745089 0.0299657407
Annual Payroll 0.0013176372 0.0041993812 0.3137693604 0.7580174014 -0.007633132 0.0102684063 -0.007633132 0.0102684063
2017 NAICS -1.1888401206 7.5379254169 -0.1577144977 0.8767852627 -17.2555478248 14.8778675837 -17.2555478248 14.8778675837
RESIDUAL OUTPUT
Observation Predicted Y Residuals
1 15732.1969819386 188.8030180614
2 140.609423001 1.390576999
3 80.7256662623 -46.7256662623
4 81.94294631 -25.94294631
5 1133.2685523069 233.7314476931
6 1556.22304232 -988.22304232
7 646.3198941673 210.6801058327
8 2484.4049149115 326.5950850885
9 655.5825711891 -81.5825711891
10 256.1364895511 27.8635104489
11 591.6481769154 592.3518230846
12 313.0329837227 553.9670162773
13 741.3139053409 690.6860946591
14 253.9100000144 -148.9100000144
15 1379.1038010068 -603.1038010068
16 358.7257902888 -209.7257902888
17 2181.1510412901 -763.1510412901
18 240.3171615744 -33.3171615744
19 2186.5219204997 -778.5219204997
20 809.8647373892 853.1352626108

X Variable 1 Residual Plot

244615 1127 500 1618 16277 27761 10723 37463 9862 4229 9273 4411 12406 3216 20049 5247 32773 3514 31656 12472 188.80301806139869 1.3905769990236934 -46.725666262320033 -25.942946309955914 233.73144769309874 -988.22304232001602 210.68010583273372 326.59508508850968 -81.58257118908125 27.863510448865441 592.35182308463391 553.96701627734069 690.68609465912243 -148.91000001437516 -603.10380100682869 -209.72579028879449 -763.15104129008796 -33.317161574355936 -778.52192049966879 853.13526261075128

X Variable 1

Residuals

X Variable 2 Residual Plot

2492282 10591 10491 46260 194035 477179 152635 248940 114653 64288 139135 39547 201202 67676 142193 35641 336896 12609 122659 75566 188.80301806139869 1.3905769990236934 -46.725666262320033 -25.942946309955914 233.73144769309874 -988.22304232001602 210.68010583273372 326.59508508850968 -81.58257118908125 27.863510448865441 592.35182308463391 553.96701627734069 690.68609465912243 -148.91000001437516 -603.10380100682869 -209.72579028879449 -763.15104129008796 -33.317161574355936 -778.52192049966879 853.13526261075128

X Variable 2

Residuals

X Variable 3 Residual Plot

10417508 44855 41785 151722 855500 1897405 607774 1015434 487821 254116 589963 172784 828587 326639 624241 151186 1468707 55387 533285 309828 188.80301806139869 1.3905769990236934 -46.725666262320033 -25.942946309955914 233.73144769309874 -988.22304232001602 210.68010583273372 326.59508508850968 -81.58257118908125 27.863510448865441 592.35182308463391 553.96701627734069 690.68609465912243 -148.91000001437516 -603.10380100682869 -209.72579028879449 -763.15104129008796 -33.317161574355936 -778.52192049966879 853.13526261075128

X Variable 3

Residuals

X Variable 4 Residual Plot

0 11 21 22 23 31 42 44 48 51 52 53 54 55 56 61 62 71 72 81 188.80301806139869 1.3905769990236934 -46.725666262320033 -25.942946309955914 233.73144769309874 -988.22304232001602 210.68010583273372 326.59508508850968 -81.58257118908125 27.863510448865441 592.35182308463391 553.96701627734069 690.68609465912243 -148.91000001437516 -603.10380100682869 -209.72579028879449 -763.15104129008796 -33.317161574355936 -778.52192049966879 853.13526261075128

X Variable 4

Residuals

X Variable 1 Line Fit Plot

Y 244615 1127 500 1618 16277 27761 10723 37463 9862 4229 9273 4411 12406 3216 20049 5247 32773 3514 31656 12472 15921 142 34 56 1367 568 857 2811 574 284 1184 867 1432 105 776 149 1418 207 1408 1663 Predicted Y 244615 1127 500 1618 16277 27761 10723 37463 9862 4229 9273 4411 12406 3216 20049 5247 32773 3514 31656 12472 15732.196981938601 140.60942300097631 80.725666262320033 81.942946309955914 1133.2685523069013 1556.223042320016 646.31989416726628 2484.4049149114903 655.58257118908125 256.13648955113456 591.64817691536609 313.03298372265925 741.31390534087757 253.91000001437516 1379.1038010068287 358.72579028879449 2181.151041290088 240.31716157435594 2186.5219204996688 809.86473738924872

X Variable 1

Y

X Variable 2 Line Fit Plot

Y 2492282 10591 10491 46260 194035 477179 152635 248940 114653 64288 139135 39547 201202 67676 142193 35641 336896 12609 122659 75566 15921 142 34 56 1367 568 857 2811 574 284 1184 867 1432 105 776 149 1418 207 1408 1663 Predicted Y 2492282 10591 10491 46260 194035 477179 152635 248940 114653 64288 139135 39547 201202 67676 142193 35641 336896 12609 122659 75566 15732.196981938601 140.60942300097631 80.725666262320033 81.942946309955914 1133.2685523069013 1556.223042320016 646.31989416726628 2484.4049149114903 655.58257118908125 256.13648955113456 591.64817691536609 313.03298372265925 741.31390534087757 253.91000001437516 1379.1038010068287 358.72579028879449 2181.151041290088 240.31716157435594 2186.5219204996688 809.86473738924872

X Variable 2

Y

X Variable 3 Line Fit Plot

Y 10417508 44855 41785 151722 855500 1897405 607774 1015434 487821 254116 589963 172784 828587 326639 624241 151186 1468707 55387 533285 309828 15921 142 34 56 1367 568 857 2811 574 284 1184 867 1432 105 776 149 1418 207 1408 1663 Predicted Y 10417508 44855 41785 151722 855500 1897405 607774 1015434 487821 254116 589963 172784 828587 326639 624241 151186 1468707 55387 533285 309828 15732.196981938601 140.60942300097631 80.725666262320033 81.942946309955914 1133.2685523069013 1556.223042320016 646.31989416726628 2484.4049149114903 655.58257118908125 256.13648955113456 591.64817691536609 313.03298372265925 741.31390534087757 253.91000001437516 1379.1038010068287 358.72579028879449 2181.151041290088 240.31716157435594 2186.5219204996688 809.86473738924872

X Variable 3

Y

X Variable 4 Line Fit Plot

Y 0 11 21 22 23 31 42 44 48 51 52 53 54 55 56 61 62 71 72 81 15921 142 34 56 1367 568 857 2811 574 284 1184 867 1432 105 776 149 1418 207 1408 1663 Predicted Y 0 11 21 22 23 31 42 44 48 51 52 53 54 55 56 61 62 71 72 81 15732.196981938601 140.60942300097631 80.725666262320033 81.942946309955914 1133.2685523069013 1556.223042320016 646.31989416726628 2484.4049149114903 655.58257118908125 256.13648955113456 591.64817691536609 313.03298372265925 741.31390534087757 253.91000001437516 1379.1038010068287 358.72579028879449 2181.151041290088 240.31716157435594 2186.5219204996688 809.86473738924872

X Variable 4

Y

Sheet4

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.9892610141
R Square 0.978637354
Adjusted R Square 0.9774505403
Standard Error 517.6087530797
Observations 20
ANOVA
df SS MS F Significance F
Regression 1 220923783.767235 220923783.767235 824.5922504599 1.73534838926834E-16
Residual 18 4822538.7827648 267918.821264711
Total 19 225746322.55
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 19.1818814787 128.0338831091 0.1498187903 0.8825735356 -249.8073254428 288.1710884002 -249.8073254428 288.1710884002
X Variable 1 0.0642679405 0.0022380756 28.715714347 1.7353483892683E-16 0.0595659181 0.068969963 0.0595659181 0.068969963
RESIDUAL OUTPUT
Observation Predicted Y Residuals
1 15740.0841575621 180.9158424379
2 91.6118504714 50.3881495286
3 51.3158517505 -17.3158517505
4 123.1674092783 -67.1674092783
5 1065.2711497076 301.7288502924
6 1803.3241789108 -1235.3241789108
7 708.3270079282 148.6729920718
8 2426.8517380652 384.1482619348
9 652.9923111201 -78.9923111201
10 290.9710020378 -6.9710020378
11 615.1384941399 568.8615058601
12 302.6677672167 564.3322327833
13 816.4899518631 615.5100481369
14 225.8675782671 -120.8675782671
15 1307.6898214382 -531.6898214382
16 356.3957655112 -207.3957655112
17 2125.4350969155 -707.4350969155
18 245.0194245491 -38.0194245491
19 2053.6478073283 -645.6478073283
20 820.731635939 842.268364061

X Variable 1 Residual Plot

244615 1127 500 1618 16277 27761 10723 37463 9862 4229 9273 4411 12406 3216 20049 5247 32773 3514 31656 12472 180.91584243790385 50.388149528620602 -17.315851750514803 -67.167409278308455 301.72885029241866 -1235.3241789107856 148.67299207181566 384.14826193478348 -78.992311120107047 -6.9710020377621618 568.8615058600991 564.33223278329478 615.51004813686336 -120.86757826705107 -531.6898214382054 -207.39576551119143 -707.43509691552799 -38.019424549056907 -645.64780732827785 842.26836406098289

X Variable 1

Residuals

X Variable 1 Line Fit Plot

Y 244615 1127 500 1618 16277 27761 10723 37463 9862 4229 9273 4411 12406 3216 20049 5247 32773 3514 31656 12472 15921 142 34 56 1367 568 857 2811 574 284 1184 867 1432 105 776 149 1418 207 1408 1663 Predicted Y 244615 1127 500 1618 16277 27761 10723 37463 9862 4229 9273 4411 12406 3216 20049 5247 32773 3514 31656 12472 15740.084157562096 91.611850471379398 51.315851750514803 123.16740927830845 1065.2711497075813 1803.3241789107856 708.32700792818434 2426.8517380652165 652.99231112010705 290.97100203776216 615.1384941399009 302.66776721670527 816.48995186313664 225.86757826705107 1307.6898214382054 356.39576551119143 2125.435096915528 245.01942454905691 2053.6478073282778 820.73163593901711

X Variable 1

Y