Homework 6
Samantha Ruvalcaba
2026-11-12
library(tidyverse)## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.2.1 ✔ readr 2.2.0
## ✔ forcats 1.0.1 ✔ stringr 1.6.0
## ✔ ggplot2 4.0.3 ✔ tibble 3.3.1
## ✔ lubridate 1.9.5 ✔ tidyr 1.3.2
## ✔ purrr 1.2.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errorslibrary(readxl)
library(dplyr)ice_tx_arrests_final<-readRDS("cleaned_ice_dataset.Rdata")ice_tx_arrests_final <- ice_tx_arrests_final|> select(case_threat_level, citizenship_country, age_at_apprehension_approximate, apprehension_aor)summary(ice_tx_arrests_final)## case_threat_level citizenship_country age_at_apprehension_approximate
## Min. :0.0000 Length :142906 Min. : 1.00
## 1st Qu.:0.0000 N.unique : 165 1st Qu.: 27.00
## Median :0.0000 N.blank : 0 Median : 34.00
## Mean :0.7175 Min.nchar: 4 Mean : 35.57
## 3rd Qu.:1.0000 Max.nchar: 31 3rd Qu.: 43.00
## Max. :3.0000 Max. :126.00
## NAs :2833
## apprehension_aor
## Length :142906
## N.unique : 5
## N.blank : 0
## Min.nchar: 29
## Max.nchar: 34
##
## ice_model_data<-ice_tx_arrests_final |>select(case_threat_level, citizenship_country, age_at_apprehension_approximate, apprehension_aor)ice_linear<-lm(case_threat_level~citizenship_country+age_at_apprehension_approximate+apprehension_aor, data=ice_model_data)summary(ice_linear)##
## Call:
## lm(formula = case_threat_level ~ citizenship_country + age_at_apprehension_approximate +
## apprehension_aor, data = ice_model_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.3030 -0.7643 -0.4807 0.4153 3.1936
##
## Coefficients:
## Estimate Std. Error
## (Intercept) 0.5633451 0.1115404
## citizenship_countryALBANIA -0.5170614 0.3113147
## citizenship_countryALGERIA -0.4531474 0.3615868
## citizenship_countryANGOLA -0.5060692 0.2047940
## citizenship_countryANTIGUA-BARBUDA 0.2097737 1.0937819
## citizenship_countryARGENTINA -0.1997856 0.1897914
## citizenship_countryARMENIA -0.5269202 0.4579115
## citizenship_countryAUSTRALIA 0.8173396 0.4579219
## citizenship_countryAZERBAIJAN 1.3223961 0.3113105
## citizenship_countryBAHAMAS 0.2034612 0.3331869
## citizenship_countryBANGLADESH -0.2433127 0.2526182
## citizenship_countryBARBADOS -0.9477828 0.6379853
## citizenship_countryBELARUS -0.9828859 0.3793332
## citizenship_countryBELGIUM -0.0993100 0.5552979
## citizenship_countryBELIZE -0.5906562 0.1724921
## citizenship_countryBENIN -0.7148733 0.3793352
## citizenship_countryBHUTAN -0.3835394 0.4991578
## citizenship_countryBOLIVIA 0.0839148 0.1820051
## citizenship_countryBOSNIA-HERZEGOVINA 0.0106246 0.6379964
## citizenship_countryBRAZIL -0.0570940 0.1422686
## citizenship_countryBULGARIA -0.1332466 0.7774067
## citizenship_countryBURKINA FASO -0.6432889 0.3215988
## citizenship_countryBURMA -0.0593966 0.2221344
## citizenship_countryBURUNDI -0.3275084 0.4260178
## citizenship_countryCAMBODIA -0.0918556 0.2572655
## citizenship_countryCAMEROON -0.6974530 0.1498559
## citizenship_countryCANADA -0.4285775 0.1910606
## citizenship_countryCAPE VERDE -1.2660839 1.0938545
## citizenship_countryCHAD -0.8604745 0.7774155
## citizenship_countryCHILE -0.3709709 0.1664763
## citizenship_countryCHINA, PEOPLES REPUBLIC OF -0.3659452 0.1194538
## citizenship_countryCOLOMBIA -0.5393782 0.1130981
## citizenship_countryCONGO -0.5547302 0.2863387
## citizenship_countryCOSTA RICA -0.2261098 0.1809770
## citizenship_countryCROATIA -0.9603873 1.0937813
## citizenship_countryCUBA -0.5130465 0.1122389
## citizenship_countryDEM REP OF THE CONGO -0.2127405 0.2148675
## citizenship_countryDJIBOUTI -0.8185865 1.0937802
## citizenship_countryDOMINICA 0.4700638 0.6379818
## citizenship_countryDOMINICAN REPUBLIC 0.0406421 0.1476983
## citizenship_countryECUADOR 0.0023470 0.1159295
## citizenship_countryEGYPT -0.5708779 0.1625986
## citizenship_countryEL SALVADOR -0.1980218 0.1119316
## citizenship_countryEQUATORIAL GUINEA -0.5728449 0.1997613
## citizenship_countryERITREA -0.5238520 0.2085470
## citizenship_countryETHIOPIA -0.4584464 0.2938365
## citizenship_countryFINLAND -0.3348038 0.7773983
## citizenship_countryFRANCE 0.5597061 0.3615868
## citizenship_countryGABON 0.0668997 0.4004265
## citizenship_countryGAMBIA 0.1395255 1.0937883
## citizenship_countryGEORGIA -0.4433831 0.2674769
## citizenship_countryGERMANY -0.6478388 0.3615904
## citizenship_countryGHANA -0.1597315 0.2030159
## citizenship_countryGREECE -0.0805919 0.7774154
## citizenship_countryGRENADA 0.0022340 0.6379859
## citizenship_countryGUATEMALA -0.1582796 0.1115557
## citizenship_countryGUINEA -0.5063556 0.2572011
## citizenship_countryGUINEA-BISSAU -0.7363885 0.5552856
## citizenship_countryGUYANA -0.5837925 0.4991637
## citizenship_countryHAITI -0.3316843 0.1587664
## citizenship_countryHONDURAS -0.1803540 0.1113692
## citizenship_countryHONG KONG -0.8316712 0.7774333
## citizenship_countryHUNGARY -0.8433085 0.3215772
## citizenship_countryINDIA -0.4810238 0.1189513
## citizenship_countryINDONESIA -0.8269649 0.2066349
## citizenship_countryIRAN 0.0485799 0.1490162
## citizenship_countryIRAQ -0.1428378 0.2305779
## citizenship_countryIRELAND 0.4064309 0.5552856
## citizenship_countryISRAEL -0.3446422 0.2526160
## citizenship_countryITALY -0.9201977 0.2938298
## citizenship_countryIVORY COAST -0.5996120 0.3215916
## citizenship_countryJAMAICA -0.4369092 0.1898396
## citizenship_countryJAPAN -0.5874474 0.6379751
## citizenship_countryJORDAN -0.5966108 0.1490176
## citizenship_countryKAZAKHSTAN -0.7122061 0.3215980
## citizenship_countryKENYA 0.0753160 0.1781933
## citizenship_countryKOREA -0.5308127 0.4991801
## citizenship_countryKOSOVO -0.8324157 0.4578950
## citizenship_countryKUWAIT -0.3451080 0.7774130
## citizenship_countryKYRGYZSTAN -0.6708397 0.3331709
## citizenship_countryLAOS -0.1038372 0.1863116
## citizenship_countryLATVIA -0.5771209 0.4991346
## citizenship_countryLEBANON -0.4154282 0.3463896
## citizenship_countryLIBERIA 0.0406436 0.3464027
## citizenship_countryLIBYA -0.5136744 0.4991485
## citizenship_countryMACAU -1.1431899 1.0938395
## citizenship_countryMALAWI -0.9198843 0.7773968
## citizenship_countryMALAYSIA -0.3571244 0.4578969
## citizenship_countryMALI -0.3400262 0.3615735
## citizenship_countryMARSHALL ISLANDS -1.0265610 1.0937871
## citizenship_countryMAURITANIA -0.8436823 0.2526326
## citizenship_countryMEXICO -0.0465654 0.1111791
## citizenship_countryMICRONESIA, FEDERATED STATES OF 0.9339314 0.4579081
## citizenship_countryMOLDOVA -1.0185414 0.4579116
## citizenship_countryMONGOLIA -0.9194226 0.6379832
## citizenship_countryMONTENEGRO -0.9204854 0.6379851
## citizenship_countryMOROCCO 0.3935329 0.2621576
## citizenship_countryMOZAMBIQUE -1.2136004 0.7774231
## citizenship_countryNAMIBIA -0.9178471 0.7774028
## citizenship_countryNEPAL -0.4105284 0.1327430
## citizenship_countryNETHERLANDS 0.1183880 0.4579005
## citizenship_countryNEW ZEALAND 2.0112525 1.0937834
## citizenship_countryNICARAGUA -0.5400662 0.1126762
## citizenship_countryNIGER 0.3619477 0.3215905
## citizenship_countryNIGERIA -0.3610161 0.1282832
## citizenship_countryNORTH MACEDONIA 0.2948980 0.6379897
## citizenship_countryPAKISTAN -0.2301342 0.1432219
## citizenship_countryPALAU 1.1674990 0.4991404
## citizenship_countryPALESTINE BORN BEFORE 1948 -0.8564001 1.0937789
## citizenship_countryPANAMA -0.3255807 0.2105586
## citizenship_countryPAPUA NEW GUINEA -0.9171948 1.0937874
## citizenship_countryPARAGUAY -0.9256296 0.5552981
## citizenship_countryPERU -0.4647502 0.1211229
## citizenship_countryPHILIPPINES -0.2600157 0.2306054
## citizenship_countryPOLAND -0.3036627 0.3216039
## citizenship_countryPORTUGAL -0.5704141 0.3463945
## citizenship_countryROMANIA -0.1672139 0.1375382
## citizenship_countryRUSSIA -0.5897491 0.1636316
## citizenship_countryRWANDA -0.5231005 0.3793464
## citizenship_countrySAMOA 1.0071781 1.0937901
## citizenship_countrySAO TOME AND PRINCIPE 1.0099303 1.0937782
## citizenship_countrySAUDI ARABIA -0.0408167 0.4579022
## citizenship_countrySENEGAL -0.8694436 0.2276096
## citizenship_countrySERBIA -0.9843513 0.5552856
## citizenship_countrySIERRA LEONE -0.5320063 0.3793516
## citizenship_countrySINGAPORE 0.9923458 1.0937851
## citizenship_countrySLOVAKIA -1.0684490 0.7774282
## citizenship_countrySLOVENIA -0.0882313 0.6379791
## citizenship_countrySOMALIA 0.1636871 0.4260108
## citizenship_countrySOUTH AFRICA -0.1800688 0.2938414
## citizenship_countrySOUTH KOREA -0.2979329 0.2732767
## citizenship_countrySOUTH SUDAN 0.0355383 1.0937886
## citizenship_countrySPAIN -0.5580848 0.1748140
## citizenship_countrySRI LANKA -0.8610493 0.1637180
## citizenship_countryST. KITTS-NEVIS -0.4928219 0.7774181
## citizenship_countryST. LUCIA -0.6761198 0.6379688
## citizenship_countryST. VINCENT-GRENADINES -0.1346227 1.0938072
## citizenship_countrySTATELESS -0.8199934 0.3113080
## citizenship_countrySUDAN 0.3758361 0.2483406
## citizenship_countrySWEDEN -0.2446610 0.7774413
## citizenship_countrySYRIA 0.4194620 0.2794950
## citizenship_countryTAIWAN -0.8135470 0.2406274
## citizenship_countryTAJIKISTAN -0.9364564 0.4260059
## citizenship_countryTANZANIA 0.1743445 0.3021111
## citizenship_countryTHAILAND -0.5114056 0.3215951
## citizenship_countryTOGO -0.8818527 0.4004329
## citizenship_countryTONGA 0.5513479 0.7774363
## citizenship_countryTRINIDAD AND TOBAGO 0.2183640 0.4260408
## citizenship_countryTUNISIA -0.4390282 0.4260153
## citizenship_countryTURKIYE -0.4955420 0.1469229
## citizenship_countryTURKMENISTAN -0.8799031 0.4991466
## citizenship_countryUGANDA -0.1113499 0.4260098
## citizenship_countryUKRAINE -0.3677052 0.2305806
## citizenship_countryUNITED ARAB EMIRATES -0.9455550 1.0937879
## citizenship_countryUNITED KINGDOM -0.6357190 0.2126710
## citizenship_countryUNKNOWN -0.0488468 0.3793401
## citizenship_countryURUGUAY -0.2544094 0.3215889
## citizenship_countryUZBEKISTAN -0.5221534 0.1732371
## citizenship_countryVENEZUELA -0.6546115 0.1115603
## citizenship_countryVIETNAM 0.0354662 0.1229983
## citizenship_countryYEMEN -0.6300854 0.4004299
## citizenship_countryYUGOSLAVIA -0.0265610 1.0937871
## citizenship_countryZAMBIA 0.0140005 0.4004473
## citizenship_countryZIMBABWE -0.2077300 0.1885812
## age_at_apprehension_approximate 0.0094534 0.0002759
## apprehension_aorEl Paso Area of Responsibility 0.1828026 0.0131234
## apprehension_aorHarlingen Area of Responsibility -0.3102602 0.0092688
## apprehension_aorHouston Area of Responsibility 0.0135278 0.0085551
## apprehension_aorSan Antonio Area of Responsibility 0.1903900 0.0087137
## t value Pr(>|t|)
## (Intercept) 5.051 4.41e-07 ***
## citizenship_countryALBANIA -1.661 0.096737 .
## citizenship_countryALGERIA -1.253 0.210128
## citizenship_countryANGOLA -2.471 0.013470 *
## citizenship_countryANTIGUA-BARBUDA 0.192 0.847909
## citizenship_countryARGENTINA -1.053 0.292499
## citizenship_countryARMENIA -1.151 0.249856
## citizenship_countryAUSTRALIA 1.785 0.074282 .
## citizenship_countryAZERBAIJAN 4.248 2.16e-05 ***
## citizenship_countryBAHAMAS 0.611 0.541431
## citizenship_countryBANGLADESH -0.963 0.335467
## citizenship_countryBARBADOS -1.486 0.137391
## citizenship_countryBELARUS -2.591 0.009568 **
## citizenship_countryBELGIUM -0.179 0.858063
## citizenship_countryBELIZE -3.424 0.000617 ***
## citizenship_countryBENIN -1.885 0.059494 .
## citizenship_countryBHUTAN -0.768 0.442267
## citizenship_countryBOLIVIA 0.461 0.644758
## citizenship_countryBOSNIA-HERZEGOVINA 0.017 0.986713
## citizenship_countryBRAZIL -0.401 0.688191
## citizenship_countryBULGARIA -0.171 0.863910
## citizenship_countryBURKINA FASO -2.000 0.045472 *
## citizenship_countryBURMA -0.267 0.789169
## citizenship_countryBURUNDI -0.769 0.442033
## citizenship_countryCAMBODIA -0.357 0.721058
## citizenship_countryCAMEROON -4.654 3.26e-06 ***
## citizenship_countryCANADA -2.243 0.024889 *
## citizenship_countryCAPE VERDE -1.157 0.247090
## citizenship_countryCHAD -1.107 0.268365
## citizenship_countryCHILE -2.228 0.025857 *
## citizenship_countryCHINA, PEOPLES REPUBLIC OF -3.063 0.002188 **
## citizenship_countryCOLOMBIA -4.769 1.85e-06 ***
## citizenship_countryCONGO -1.937 0.052708 .
## citizenship_countryCOSTA RICA -1.249 0.211527
## citizenship_countryCROATIA -0.878 0.379922
## citizenship_countryCUBA -4.571 4.86e-06 ***
## citizenship_countryDEM REP OF THE CONGO -0.990 0.322126
## citizenship_countryDJIBOUTI -0.748 0.454219
## citizenship_countryDOMINICA 0.737 0.461246
## citizenship_countryDOMINICAN REPUBLIC 0.275 0.783186
## citizenship_countryECUADOR 0.020 0.983848
## citizenship_countryEGYPT -3.511 0.000447 ***
## citizenship_countryEL SALVADOR -1.769 0.076874 .
## citizenship_countryEQUATORIAL GUINEA -2.868 0.004136 **
## citizenship_countryERITREA -2.512 0.012009 *
## citizenship_countryETHIOPIA -1.560 0.118713
## citizenship_countryFINLAND -0.431 0.666707
## citizenship_countryFRANCE 1.548 0.121645
## citizenship_countryGABON 0.167 0.867314
## citizenship_countryGAMBIA 0.128 0.898496
## citizenship_countryGEORGIA -1.658 0.097390 .
## citizenship_countryGERMANY -1.792 0.073193 .
## citizenship_countryGHANA -0.787 0.431404
## citizenship_countryGREECE -0.104 0.917434
## citizenship_countryGRENADA 0.004 0.997206
## citizenship_countryGUATEMALA -1.419 0.155948
## citizenship_countryGUINEA -1.969 0.048988 *
## citizenship_countryGUINEA-BISSAU -1.326 0.184794
## citizenship_countryGUYANA -1.170 0.242188
## citizenship_countryHAITI -2.089 0.036697 *
## citizenship_countryHONDURAS -1.619 0.105358
## citizenship_countryHONG KONG -1.070 0.284727
## citizenship_countryHUNGARY -2.622 0.008732 **
## citizenship_countryINDIA -4.044 5.26e-05 ***
## citizenship_countryINDONESIA -4.002 6.28e-05 ***
## citizenship_countryIRAN 0.326 0.744422
## citizenship_countryIRAQ -0.619 0.535603
## citizenship_countryIRELAND 0.732 0.464212
## citizenship_countryISRAEL -1.364 0.172478
## citizenship_countryITALY -3.132 0.001738 **
## citizenship_countryIVORY COAST -1.865 0.062252 .
## citizenship_countryJAMAICA -2.301 0.021367 *
## citizenship_countryJAPAN -0.921 0.357156
## citizenship_countryJORDAN -4.004 6.24e-05 ***
## citizenship_countryKAZAKHSTAN -2.215 0.026790 *
## citizenship_countryKENYA 0.423 0.672541
## citizenship_countryKOREA -1.063 0.287616
## citizenship_countryKOSOVO -1.818 0.069079 .
## citizenship_countryKUWAIT -0.444 0.657102
## citizenship_countryKYRGYZSTAN -2.014 0.044064 *
## citizenship_countryLAOS -0.557 0.577302
## citizenship_countryLATVIA -1.156 0.247584
## citizenship_countryLEBANON -1.199 0.230410
## citizenship_countryLIBERIA 0.117 0.906598
## citizenship_countryLIBYA -1.029 0.303434
## citizenship_countryMACAU -1.045 0.295971
## citizenship_countryMALAWI -1.183 0.236697
## citizenship_countryMALAYSIA -0.780 0.435437
## citizenship_countryMALI -0.940 0.347011
## citizenship_countryMARSHALL ISLANDS -0.939 0.347970
## citizenship_countryMAURITANIA -3.340 0.000839 ***
## citizenship_countryMEXICO -0.419 0.675340
## citizenship_countryMICRONESIA, FEDERATED STATES OF 2.040 0.041396 *
## citizenship_countryMOLDOVA -2.224 0.026129 *
## citizenship_countryMONGOLIA -1.441 0.149548
## citizenship_countryMONTENEGRO -1.443 0.149079
## citizenship_countryMOROCCO 1.501 0.133324
## citizenship_countryMOZAMBIQUE -1.561 0.118513
## citizenship_countryNAMIBIA -1.181 0.237741
## citizenship_countryNEPAL -3.093 0.001984 **
## citizenship_countryNETHERLANDS 0.259 0.795987
## citizenship_countryNEW ZEALAND 1.839 0.065946 .
## citizenship_countryNICARAGUA -4.793 1.64e-06 ***
## citizenship_countryNIGER 1.125 0.260382
## citizenship_countryNIGERIA -2.814 0.004890 **
## citizenship_countryNORTH MACEDONIA 0.462 0.643917
## citizenship_countryPAKISTAN -1.607 0.108093
## citizenship_countryPALAU 2.339 0.019336 *
## citizenship_countryPALESTINE BORN BEFORE 1948 -0.783 0.433644
## citizenship_countryPANAMA -1.546 0.122041
## citizenship_countryPAPUA NEW GUINEA -0.839 0.401724
## citizenship_countryPARAGUAY -1.667 0.095535 .
## citizenship_countryPERU -3.837 0.000125 ***
## citizenship_countryPHILIPPINES -1.128 0.259518
## citizenship_countryPOLAND -0.944 0.345062
## citizenship_countryPORTUGAL -1.647 0.099618 .
## citizenship_countryROMANIA -1.216 0.224077
## citizenship_countryRUSSIA -3.604 0.000313 ***
## citizenship_countryRWANDA -1.379 0.167912
## citizenship_countrySAMOA 0.921 0.357149
## citizenship_countrySAO TOME AND PRINCIPE 0.923 0.355831
## citizenship_countrySAUDI ARABIA -0.089 0.928972
## citizenship_countrySENEGAL -3.820 0.000134 ***
## citizenship_countrySERBIA -1.773 0.076282 .
## citizenship_countrySIERRA LEONE -1.402 0.160795
## citizenship_countrySINGAPORE 0.907 0.364272
## citizenship_countrySLOVAKIA -1.374 0.169339
## citizenship_countrySLOVENIA -0.138 0.890005
## citizenship_countrySOMALIA 0.384 0.700807
## citizenship_countrySOUTH AFRICA -0.613 0.540003
## citizenship_countrySOUTH KOREA -1.090 0.275616
## citizenship_countrySOUTH SUDAN 0.032 0.974081
## citizenship_countrySPAIN -3.192 0.001411 **
## citizenship_countrySRI LANKA -5.259 1.45e-07 ***
## citizenship_countryST. KITTS-NEVIS -0.634 0.526133
## citizenship_countryST. LUCIA -1.060 0.289237
## citizenship_countryST. VINCENT-GRENADINES -0.123 0.902046
## citizenship_countrySTATELESS -2.634 0.008439 **
## citizenship_countrySUDAN 1.513 0.130183
## citizenship_countrySWEDEN -0.315 0.752990
## citizenship_countrySYRIA 1.501 0.133413
## citizenship_countryTAIWAN -3.381 0.000723 ***
## citizenship_countryTAJIKISTAN -2.198 0.027935 *
## citizenship_countryTANZANIA 0.577 0.563881
## citizenship_countryTHAILAND -1.590 0.111788
## citizenship_countryTOGO -2.202 0.027649 *
## citizenship_countryTONGA 0.709 0.478210
## citizenship_countryTRINIDAD AND TOBAGO 0.513 0.608272
## citizenship_countryTUNISIA -1.031 0.302756
## citizenship_countryTURKIYE -3.373 0.000744 ***
## citizenship_countryTURKMENISTAN -1.763 0.077934 .
## citizenship_countryUGANDA -0.261 0.793801
## citizenship_countryUKRAINE -1.595 0.110783
## citizenship_countryUNITED ARAB EMIRATES -0.864 0.387327
## citizenship_countryUNITED KINGDOM -2.989 0.002797 **
## citizenship_countryUNKNOWN -0.129 0.897542
## citizenship_countryURUGUAY -0.791 0.428886
## citizenship_countryUZBEKISTAN -3.014 0.002578 **
## citizenship_countryVENEZUELA -5.868 4.43e-09 ***
## citizenship_countryVIETNAM 0.288 0.773081
## citizenship_countryYEMEN -1.574 0.115600
## citizenship_countryYUGOSLAVIA -0.024 0.980626
## citizenship_countryZAMBIA 0.035 0.972110
## citizenship_countryZIMBABWE -1.102 0.270663
## age_at_apprehension_approximate 34.265 < 2e-16 ***
## apprehension_aorEl Paso Area of Responsibility 13.930 < 2e-16 ***
## apprehension_aorHarlingen Area of Responsibility -33.474 < 2e-16 ***
## apprehension_aorHouston Area of Responsibility 1.581 0.113819
## apprehension_aorSan Antonio Area of Responsibility 21.850 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.088 on 139904 degrees of freedom
## (2833 observations deleted due to missingness)
## Multiple R-squared: 0.05364, Adjusted R-squared: 0.05251
## F-statistic: 47.21 on 168 and 139904 DF, p-value: < 2.2e-16- interpret the model’s r-squared and p-values. How much of the dependent variable does the overall model explain? What are the significant variables? What are the insignificant variables?
Both r-squared values are about 5% meaning a low variance–probbably due to the fact that there are many countries included in the dataset. I believe the p-value indicates that the null hypothesis isn’t true and that the independent values have some, nonrandom relationship with the dependent value (case threat level).
- Choose some significant independent variables. Interpret its Estimates (or Beta Coefficients). How do the independent variables individually affect the dependent variable?
I’m not too sure about this one. I expect there to be variation in the relationships each country has with the dependent variable. I believe some country, age, and aor groupings have a stronger relationship than others.
- Does the model you create meet or violate the assumption of linearity? Show your work with “plot(x,which=1)”
plot(ice_linear,which=1)
It mostly follows the assumption of linearity.