Closed aravindhebbali closed 3 years ago
The error was due to the way model number was assigned without taking into account categorical predictors.
# load packages
library(olsrr)
#>
#> Attaching package: 'olsrr'
#> The following object is masked from 'package:datasets':
#>
#> rivers
# import data
data <- read.csv("J:/data.csv")
data <- data[, -1]
# model
model <- lm(lwage ~ ., data = data)
# all possible regression variable coefficients
ols_step_all_possible_betas(model)
#> model predictor beta
#> 1 1 (Intercept) 4.447107e+00
#> 2 1 femaleMale 4.319851e-01
#> 3 2 (Intercept) 4.943125e+00
#> 4 2 Age -5.024170e-03
#> 5 3 (Intercept) 4.248495e+00
#> 6 3 EducationHigher secondary/diploma 5.389967e-01
#> 7 3 EducationLiterate/primary 4.694814e-01
#> 8 3 EducationMiddle/secondary 5.907407e-01
#> 9 3 EducationNot literate 5.262069e-01
#> 10 4 (Intercept) 4.741754e+00
#> 11 4 union_memUnion member 6.255561e-01
#> 12 5 (Intercept) 4.588242e+00
#> 13 5 permanentTemporary 2.975571e-01
#> 14 6 (Intercept) 4.735403e+00
#> 15 6 publicPubic sector 3.921657e-01
#> 16 7 (Intercept) 4.555398e+00
#> 17 7 married 3.108507e-01
#> 18 8 (Intercept) 4.491586e+00
#> 19 8 femaleMale 4.233356e-01
#> 20 8 Age -1.084851e-03
#> 21 9 (Intercept) 3.711966e+00
#> 22 9 femaleMale 5.365292e-01
#> 23 9 EducationHigher secondary/diploma 5.389967e-01
#> 24 9 EducationLiterate/primary 5.410186e-01
#> 25 9 EducationMiddle/secondary 6.622780e-01
#> 26 9 EducationNot literate 7.944715e-01
#> 27 10 (Intercept) 4.447107e+00
#> 28 10 femaleMale 4.040869e-01
#> 29 10 union_memUnion member 5.161159e-01
#> 30 11 (Intercept) 4.365916e+00
#> 31 11 femaleMale 3.705431e-01
#> 32 11 permanentTemporary 2.110971e-01
#> 33 12 (Intercept) 4.417300e+00
#> 34 12 femaleMale 4.303739e-01
#> 35 12 publicPubic sector 3.874877e-01
#> 36 13 (Intercept) 4.227451e+00
#> 37 13 femaleMale 4.372621e-01
#> 38 13 married 3.172810e-01
#> 39 14 (Intercept) 4.439299e+00
#> 40 14 Age -9.085882e-03
#> 41 14 EducationHigher secondary/diploma 5.480826e-01
#> 42 14 EducationLiterate/primary 5.476200e-01
#> 43 14 EducationMiddle/secondary 6.785709e-01
#> 44 14 EducationNot literate 7.432586e-01
#> 45 15 (Intercept) 4.902565e+00
#> 46 15 Age -4.564715e-03
#> 47 15 union_memUnion member 6.108159e-01
#> 48 16 (Intercept) 4.705765e+00
#> 49 16 Age -3.100865e-03
#> 50 16 permanentTemporary 2.830864e-01
#> 51 17 (Intercept) 4.906498e+00
#> 52 17 Age -4.864257e-03
#> 53 17 publicPubic sector 3.876715e-01
#> 54 18 (Intercept) 4.745434e+00
#> 55 18 Age -5.548513e-03
#> 56 18 married 3.177863e-01
#> 57 19 (Intercept) 4.248495e+00
#> 58 19 EducationHigher secondary/diploma 5.389967e-01
#> 59 19 EducationLiterate/primary 4.274311e-01
#> 60 19 EducationMiddle/secondary 5.486905e-01
#> 61 19 EducationNot literate 5.262069e-01
#> 62 19 union_memUnion member 6.307541e-01
#> 63 20 (Intercept) 3.930994e+00
#> 64 20 EducationHigher secondary/diploma 5.389967e-01
#> 65 20 EducationLiterate/primary 6.176487e-01
#> 66 20 EducationMiddle/secondary 6.965745e-01
#> 67 20 EducationNot literate 6.673187e-01
#> 68 20 permanentTemporary 3.175013e-01
#> 69 21 (Intercept) 4.248495e+00
#> 70 21 EducationHigher secondary/diploma 5.389967e-01
#> 71 21 EducationLiterate/primary 4.439896e-01
#> 72 21 EducationMiddle/secondary 5.142653e-01
#> 73 21 EducationNot literate 5.262069e-01
#> 74 21 publicPubic sector 3.823771e-01
#> 75 22 (Intercept) 3.885216e+00
#> 76 22 EducationHigher secondary/diploma 5.389967e-01
#> 77 22 EducationLiterate/primary 5.663559e-01
#> 78 22 EducationMiddle/secondary 7.602711e-01
#> 79 22 EducationNot literate 6.271179e-01
#> 80 22 married 3.632793e-01
#> 81 23 (Intercept) 4.555357e+00
#> 82 23 union_memUnion member 6.576935e-01
#> 83 23 permanentTemporary 3.085187e-01
#> 84 24 (Intercept) 4.724439e+00
#> 85 24 union_memUnion member 5.043501e-01
#> 86 24 publicPubic sector 2.770423e-01
#> 87 25 (Intercept) 4.512391e+00
#> 88 25 union_memUnion member 6.881097e-01
#> 89 25 married 3.336190e-01
#> 90 26 (Intercept) 4.570918e+00
#> 91 26 permanentTemporary 2.802334e-01
#> 92 26 publicPubic sector 3.464754e-01
#> 93 27 (Intercept) 4.322396e+00
#> 94 27 permanentTemporary 3.389109e-01
#> 95 27 married 3.544606e-01
#> 96 28 (Intercept) 4.498032e+00
#> 97 28 publicPubic sector 4.589263e-01
#> 98 28 married 3.412208e-01
#> 99 29 (Intercept) 3.894165e+00
#> 100 29 femaleMale 5.277526e-01
#> 101 29 Age -8.258221e-03
#> 102 29 EducationHigher secondary/diploma 5.472549e-01
#> 103 29 EducationLiterate/primary 6.108691e-01
#> 104 29 EducationMiddle/secondary 7.409372e-01
#> 105 29 EducationNot literate 9.873630e-01
#> 106 30 (Intercept) 4.485902e+00
#> 107 30 femaleMale 3.965984e-01
#> 108 30 Age -9.462031e-04
#> 109 30 union_memUnion member 5.150886e-01
#> 110 31 (Intercept) 4.372465e+00
#> 111 31 femaleMale 3.694407e-01
#> 112 31 Age -1.553383e-04
#> 113 31 permanentTemporary 2.106294e-01
#> 114 32 (Intercept) 4.455438e+00
#> 115 32 femaleMale 4.229725e-01
#> 116 32 Age -9.287131e-04
#> 117 32 publicPubic sector 3.867101e-01
#> 118 33 (Intercept) 4.291804e+00
#> 119 33 femaleMale 4.245339e-01
#> 120 33 Age -1.600201e-03
#> 121 33 married 3.190941e-01
#> 122 34 (Intercept) 3.730603e+00
#> 123 34 femaleMale 5.178925e-01
#> 124 34 EducationHigher secondary/diploma 5.389967e-01
#> 125 34 EducationLiterate/primary 5.014158e-01
#> 126 34 EducationMiddle/secondary 6.226751e-01
#> 127 34 EducationNot literate 7.851532e-01
#> 128 34 union_memUnion member 5.567695e-01
#> 129 35 (Intercept) 3.558647e+00
#> 130 35 femaleMale 4.704278e-01
#> 131 35 EducationHigher secondary/diploma 5.389967e-01
#> 132 35 EducationLiterate/primary 6.346011e-01
#> 133 35 EducationMiddle/secondary 7.266044e-01
#> 134 35 EducationNot literate 8.589408e-01
#> 135 35 permanentTemporary 2.194199e-01
#> 136 36 (Intercept) 3.684946e+00
#> 137 36 femaleMale 5.635494e-01
#> 138 36 EducationHigher secondary/diploma 5.389967e-01
#> 139 36 EducationLiterate/primary 5.138697e-01
#> 140 36 EducationMiddle/secondary 5.736259e-01
#> 141 36 EducationNot literate 8.079816e-01
#> 142 36 publicPubic sector 4.612740e-01
#> 143 37 (Intercept) 3.351935e+00
#> 144 37 femaleMale 5.350164e-01
#> 145 37 EducationHigher secondary/diploma 5.389967e-01
#> 146 37 EducationLiterate/primary 6.372287e-01
#> 147 37 EducationMiddle/secondary 8.307969e-01
#> 148 37 EducationNot literate 8.941441e-01
#> 149 37 married 3.615441e-01
#> 150 38 (Intercept) 4.359167e+00
#> 151 38 femaleMale 3.352426e-01
#> 152 38 union_memUnion member 5.585783e-01
#> 153 38 permanentTemporary 2.286435e-01
#> 154 39 (Intercept) 4.424011e+00
#> 155 39 femaleMale 4.100259e-01
#> 156 39 union_memUnion member 3.831475e-01
#> 157 39 publicPubic sector 3.002513e-01
#> 158 40 (Intercept) 4.214514e+00
#> 159 40 femaleMale 4.063021e-01
#> 160 40 union_memUnion member 5.785099e-01
#> 161 40 married 3.359676e-01
#> 162 41 (Intercept) 4.345692e+00
#> 163 41 femaleMale 3.745215e-01
#> 164 41 permanentTemporary 1.923320e-01
#> 165 41 publicPubic sector 3.567363e-01
#> 166 42 (Intercept) 4.108207e+00
#> 167 42 femaleMale 3.640598e-01
#> 168 42 permanentTemporary 2.533030e-01
#> 169 42 married 3.487987e-01
#> 170 43 (Intercept) 4.171571e+00
#> 171 43 femaleMale 4.358694e-01
#> 172 43 publicPubic sector 4.553970e-01
#> 173 43 married 3.473971e-01
#> 174 44 (Intercept) 4.448735e+00
#> 175 44 Age -9.535251e-03
#> 176 44 EducationHigher secondary/diploma 5.485319e-01
#> 177 44 EducationLiterate/primary 5.081629e-01
#> 178 44 EducationMiddle/secondary 6.395932e-01
#> 179 44 EducationNot literate 7.539935e-01
#> 180 44 union_memUnion member 6.498246e-01
#> 181 45 (Intercept) 4.101215e+00
#> 182 45 Age -6.995779e-03
#> 183 45 EducationHigher secondary/diploma 5.459925e-01
#> 184 45 EducationLiterate/primary 6.669343e-01
#> 185 45 EducationMiddle/secondary 7.564303e-01
#> 186 45 EducationNot literate 8.240799e-01
#> 187 45 permanentTemporary 2.941911e-01
#> 188 46 (Intercept) 4.465058e+00
#> 189 46 Age -1.031253e-02
#> 190 46 EducationHigher secondary/diploma 5.493092e-01
#> 191 46 EducationLiterate/primary 5.295011e-01
#> 192 46 EducationMiddle/secondary 6.044243e-01
#> 193 46 EducationNot literate 7.725619e-01
#> 194 46 publicPubic sector 4.300210e-01
#> 195 47 (Intercept) 4.080778e+00
#> 196 47 Age -9.741767e-03
#> 197 47 EducationHigher secondary/diploma 5.487385e-01
#> 198 47 EducationLiterate/primary 6.525391e-01
#> 199 47 EducationMiddle/secondary 8.586485e-01
#> 200 47 EducationNot literate 8.623420e-01
#> 201 47 married 3.722944e-01
#> 202 48 (Intercept) 4.651388e+00
#> 203 48 Age -2.521425e-03
#> 204 48 union_memUnion member 6.483094e-01
#> 205 48 permanentTemporary 2.965956e-01
#> 206 49 (Intercept) 4.884496e+00
#> 207 49 Age -4.541630e-03
#> 208 49 union_memUnion member 4.900968e-01
#> 209 49 publicPubic sector 2.760997e-01
#> 210 50 (Intercept) 4.687275e+00
#> 211 50 Age -5.078190e-03
#> 212 50 union_memUnion member 6.728066e-01
#> 213 50 married 3.394604e-01
#> 214 51 (Intercept) 4.687480e+00
#> 215 51 Age -3.074856e-03
#> 216 51 permanentTemporary 2.659093e-01
#> 217 51 publicPubic sector 3.459700e-01
#> 218 52 (Intercept) 4.450200e+00
#> 219 52 Age -3.416706e-03
#> 220 52 permanentTemporary 3.232291e-01
#> 221 52 married 3.567136e-01
#> 222 53 (Intercept) 4.683795e+00
#> 223 53 Age -5.410162e-03
#> 224 53 publicPubic sector 4.552027e-01
#> 225 53 married 3.477371e-01
#> 226 54 (Intercept) 3.919422e+00
#> 227 54 EducationHigher secondary/diploma 5.389967e-01
#> 228 54 EducationLiterate/primary 5.786480e-01
#> 229 54 EducationMiddle/secondary 6.560309e-01
#> 230 54 EducationNot literate 6.724616e-01
#> 231 54 union_memUnion member 6.660120e-01
#> 232 54 permanentTemporary 3.290730e-01
#> 233 55 (Intercept) 4.248495e+00
#> 234 55 EducationHigher secondary/diploma 5.389967e-01
#> 235 55 EducationLiterate/primary 4.166378e-01
#> 236 55 EducationMiddle/secondary 5.023428e-01
#> 237 55 EducationNot literate 5.262069e-01
#> 238 55 union_memUnion member 5.259956e-01
#> 239 55 publicPubic sector 2.666581e-01
#> 240 56 (Intercept) 3.867438e+00
#> 241 56 EducationHigher secondary/diploma 5.389967e-01
#> 242 56 EducationLiterate/primary 5.254173e-01
#> 243 56 EducationMiddle/secondary 7.228881e-01
#> 244 56 EducationNot literate 6.320562e-01
#> 245 56 union_memUnion member 6.851909e-01
#> 246 56 married 3.810572e-01
#> 247 57 (Intercept) 3.944772e+00
#> 248 57 EducationHigher secondary/diploma 5.389967e-01
#> 249 57 EducationLiterate/primary 5.885620e-01
#> 250 57 EducationMiddle/secondary 6.240107e-01
#> 251 57 EducationNot literate 6.611951e-01
#> 252 57 permanentTemporary 3.037234e-01
#> 253 57 publicPubic sector 3.398558e-01
#> 254 58 (Intercept) 3.465509e+00
#> 255 58 EducationHigher secondary/diploma 5.389967e-01
#> 256 58 EducationLiterate/primary 7.520156e-01
#> 257 58 EducationMiddle/secondary 9.069760e-01
#> 258 58 EducationNot literate 8.051513e-01
#> 259 58 permanentTemporary 3.686887e-01
#> 260 58 married 4.142979e-01
#> 261 59 (Intercept) 3.871592e+00
#> 262 59 EducationHigher secondary/diploma 5.389967e-01
#> 263 59 EducationLiterate/primary 5.419844e-01
#> 264 59 EducationMiddle/secondary 6.826154e-01
#> 265 59 EducationNot literate 6.309023e-01
#> 266 59 publicPubic sector 4.200674e-01
#> 267 59 married 3.769031e-01
#> 268 60 (Intercept) 4.549359e+00
#> 269 60 union_memUnion member 5.620893e-01
#> 270 60 permanentTemporary 2.961464e-01
#> 271 60 publicPubic sector 2.155779e-01
#> 272 61 (Intercept) 4.266018e+00
#> 273 61 union_memUnion member 7.338354e-01
#> 274 61 permanentTemporary 3.542039e-01
#> 275 61 married 3.807097e-01
#> 276 62 (Intercept) 4.479308e+00
#> 277 62 union_memUnion member 5.441011e-01
#> 278 62 publicPubic sector 3.366687e-01
#> 279 62 married 3.511336e-01
#> 280 63 (Intercept) 4.282857e+00
#> 281 63 permanentTemporary 3.211374e-01
#> 282 63 publicPubic sector 4.140710e-01
#> 283 63 married 3.795753e-01
#> 284 64 (Intercept) 3.922894e+00
#> 285 64 femaleMale 5.080314e-01
#> 286 64 Age -8.687157e-03
#> 287 64 EducationHigher secondary/diploma 5.476839e-01
#> 288 64 EducationLiterate/primary 5.735583e-01
#> 289 64 EducationMiddle/secondary 7.040839e-01
#> 290 64 EducationNot literate 9.877492e-01
#> 291 64 union_memUnion member 5.755525e-01
#> 292 65 (Intercept) 3.728196e+00
#> 293 65 femaleMale 4.699903e-01
#> 294 65 Age -6.953893e-03
#> 295 65 EducationHigher secondary/diploma 5.459506e-01
#> 296 65 EducationLiterate/primary 6.835758e-01
#> 297 65 EducationMiddle/secondary 7.860739e-01
#> 298 65 EducationNot literate 1.014585e+00
#> 299 65 permanentTemporary 1.963404e-01
#> 300 66 (Intercept) 3.895393e+00
#> 301 66 femaleMale 5.558388e-01
#> 302 66 Age -9.654123e-03
#> 303 66 EducationHigher secondary/diploma 5.486508e-01
#> 304 66 EducationLiterate/primary 5.929656e-01
#> 305 66 EducationMiddle/secondary 6.572165e-01
#> 306 66 EducationNot literate 1.034753e+00
#> 307 66 publicPubic sector 5.047966e-01
#> 308 67 (Intercept) 3.540341e+00
#> 309 67 femaleMale 5.255091e-01
#> 310 67 Age -8.913271e-03
#> 311 67 EducationHigher secondary/diploma 5.479100e-01
#> 312 67 EducationLiterate/primary 7.148230e-01
#> 313 67 EducationMiddle/secondary 9.195545e-01
#> 314 67 EducationNot literate 1.104618e+00
#> 315 67 married 3.698233e-01
#> 316 68 (Intercept) 4.355980e+00
#> 317 68 femaleMale 3.357710e-01
#> 318 68 Age 7.556778e-05
#> 319 68 union_memUnion member 5.587033e-01
#> 320 68 permanentTemporary 2.288750e-01
#> 321 69 (Intercept) 4.459351e+00
#> 322 69 femaleMale 4.032013e-01
#> 323 69 Age -8.609010e-04
#> 324 69 union_memUnion member 3.824630e-01
#> 325 69 publicPubic sector 2.996863e-01
#> 326 70 (Intercept) 4.273850e+00
#> 327 70 femaleMale 3.946415e-01
#> 328 70 Age -1.474713e-03
#> 329 70 union_memUnion member 5.772113e-01
#> 330 70 married 3.375966e-01
#> 331 71 (Intercept) 4.349627e+00
#> 332 71 femaleMale 3.738591e-01
#> 333 71 Age -9.329485e-05
#> 334 71 permanentTemporary 1.920528e-01
#> 335 71 publicPubic sector 3.567028e-01
#> 336 72 (Intercept) 4.130579e+00
#> 337 72 femaleMale 3.602346e-01
#> 338 72 Age -5.379374e-04
#> 339 72 permanentTemporary 2.517335e-01
#> 340 72 married 3.492129e-01
#> 341 73 (Intercept) 4.230599e+00
#> 342 73 femaleMale 4.242195e-01
#> 343 73 Age -1.464992e-03
#> 344 73 publicPubic sector 4.544830e-01
#> 345 73 married 3.489966e-01
#> 346 74 (Intercept) 3.567717e+00
#> 347 74 femaleMale 4.459692e-01
#> 348 74 EducationHigher secondary/diploma 5.389967e-01
#> 349 74 EducationLiterate/primary 5.990412e-01
#> 350 74 EducationMiddle/secondary 6.889927e-01
#> 351 74 EducationNot literate 8.535509e-01
#> 352 74 union_memUnion member 5.922023e-01
#> 353 74 permanentTemporary 2.348086e-01
#> 354 75 (Intercept) 3.704020e+00
#> 355 75 femaleMale 5.444746e-01
#> 356 75 EducationHigher secondary/diploma 5.389967e-01
#> 357 75 EducationLiterate/primary 4.902845e-01
#> 358 75 EducationMiddle/secondary 5.623669e-01
#> 359 75 EducationNot literate 7.984443e-01
#> 360 75 union_memUnion member 4.080758e-01
#> 361 75 publicPubic sector 3.688269e-01
#> 362 76 (Intercept) 3.356535e+00
#> 363 76 femaleMale 5.144919e-01
#> 364 76 EducationHigher secondary/diploma 5.389967e-01
#> 365 76 EducationLiterate/primary 5.979933e-01
#> 366 76 EducationMiddle/secondary 7.947463e-01
#> 367 76 EducationNot literate 8.883052e-01
#> 368 76 union_memUnion member 6.111793e-01
#> 369 76 married 3.774683e-01
#> 370 77 (Intercept) 3.550461e+00
#> 371 77 femaleMale 5.025579e-01
#> 372 77 EducationHigher secondary/diploma 5.389967e-01
#> 373 77 EducationLiterate/primary 5.993535e-01
#> 374 77 EducationMiddle/secondary 6.378335e-01
#> 375 77 EducationNot literate 8.643642e-01
#> 376 77 permanentTemporary 1.954763e-01
#> 377 77 publicPubic sector 4.253685e-01
#> 378 78 (Intercept) 3.123744e+00
#> 379 78 femaleMale 4.527774e-01
#> 380 78 EducationHigher secondary/diploma 5.389967e-01
#> 381 78 EducationLiterate/primary 7.635370e-01
#> 382 78 EducationMiddle/secondary 9.283709e-01
#> 383 78 EducationNot literate 9.846652e-01
#> 384 78 permanentTemporary 2.724606e-01
#> 385 78 married 3.995135e-01
#> 386 79 (Intercept) 3.306671e+00
#> 387 79 femaleMale 5.641867e-01
#> 388 79 EducationHigher secondary/diploma 5.389967e-01
#> 389 79 EducationLiterate/primary 6.121345e-01
#> 390 79 EducationMiddle/secondary 7.423710e-01
#> 391 79 EducationNot literate 9.131996e-01
#> 392 79 publicPubic sector 4.991270e-01
#> 393 79 married 3.776374e-01
#> 394 80 (Intercept) 4.346234e+00
#> 395 80 femaleMale 3.453293e-01
#> 396 80 union_memUnion member 4.435544e-01
#> 397 80 permanentTemporary 2.117407e-01
#> 398 80 publicPubic sector 2.526430e-01
#> 399 81 (Intercept) 4.083227e+00
#> 400 81 femaleMale 3.233987e-01
#> 401 81 union_memUnion member 6.365198e-01
#> 402 81 permanentTemporary 2.761293e-01
#> 403 81 married 3.721992e-01
#> 404 82 (Intercept) 4.173749e+00
#> 405 82 femaleMale 4.135607e-01
#> 406 82 union_memUnion member 4.222657e-01
#> 407 82 publicPubic sector 3.606960e-01
#> 408 82 married 3.547741e-01
#> 409 83 (Intercept) 4.065295e+00
#> 410 83 femaleMale 3.683041e-01
#> 411 83 permanentTemporary 2.341379e-01
#> 412 83 publicPubic sector 4.232406e-01
#> 413 83 married 3.744036e-01
#> 414 84 (Intercept) 4.099034e+00
#> 415 84 Age -7.390382e-03
#> 416 84 EducationHigher secondary/diploma 5.463871e-01
#> 417 84 EducationLiterate/primary 6.300012e-01
#> 418 84 EducationMiddle/secondary 7.185224e-01
#> 419 84 EducationNot literate 8.381591e-01
#> 420 84 union_memUnion member 6.781770e-01
#> 421 84 permanentTemporary 3.046592e-01
#> 422 85 (Intercept) 4.465777e+00
#> 423 85 Age -1.034676e-02
#> 424 85 EducationHigher secondary/diploma 5.493435e-01
#> 425 85 EducationLiterate/primary 5.023242e-01
#> 426 85 EducationMiddle/secondary 5.927536e-01
#> 427 85 EducationNot literate 7.733796e-01
#> 428 85 union_memUnion member 5.280909e-01
#> 429 85 publicPubic sector 3.139992e-01
#> 430 86 (Intercept) 4.072913e+00
#> 431 86 Age -1.026396e-02
#> 432 86 EducationHigher secondary/diploma 5.492607e-01
#> 433 86 EducationLiterate/primary 6.149078e-01
#> 434 86 EducationMiddle/secondary 8.253404e-01
#> 435 86 EducationNot literate 8.800475e-01
#> 436 86 union_memUnion member 7.071571e-01
#> 437 86 married 3.911255e-01
#> 438 87 (Intercept) 4.146592e+00
#> 439 87 Age -8.224327e-03
#> 440 87 EducationHigher secondary/diploma 5.472210e-01
#> 441 87 EducationLiterate/primary 6.429020e-01
#> 442 87 EducationMiddle/secondary 6.853951e-01
#> 443 87 EducationNot literate 8.447276e-01
#> 444 87 permanentTemporary 2.746140e-01
#> 445 87 publicPubic sector 3.819275e-01
#> 446 88 (Intercept) 3.641020e+00
#> 447 88 Age -7.374032e-03
#> 448 88 EducationHigher secondary/diploma 5.463707e-01
#> 449 88 EducationLiterate/primary 8.050958e-01
#> 450 88 EducationMiddle/secondary 9.718372e-01
#> 451 88 EducationNot literate 9.715474e-01
#> 452 88 permanentTemporary 3.445485e-01
#> 453 88 married 4.177813e-01
#> 454 89 (Intercept) 4.093101e+00
#> 455 89 Age -1.111923e-02
#> 456 89 EducationHigher secondary/diploma 5.501159e-01
#> 457 89 EducationLiterate/primary 6.373037e-01
#> 458 89 EducationMiddle/secondary 7.851848e-01
#> 459 89 EducationNot literate 8.998603e-01
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Created on 2021-08-05 by the reprex package (v0.3.0)
This issue was shared by Rahul via email
Created on 2021-08-05 by the reprex package (v0.3.0)