I need help with how to approach this question. I believe there are multiple steps that should be taken, but I'm having trouble making sense of what order to do things in. Any guidance is appreciated.

2.Analyze the "salary and gender" datato develop the "best" model that predicts salary as a function of company size, years of experience, gender, and degree. Investigate the model assumptions and clearly explain your conclusions. Clearly explain your predictive model (don't just copy an excel regression output table).

Salary Size Experience Gender Degree 111 233 11 Male Grad 137 327 18 Male UG 114 180 16 Male UG 83 104 20 Female UG 117 324 15 Male Grad 121 231 19 Male UG 111 224 15 Male Grad 112 353 12 Male UG 132 248 20 Male UG 124 376 18 Male UG 121 114 16 Male Grad 79 370 13 Female Grad 143 306 18 Male Grad 116 303 15 Male Grad 154 282 17 Male Grad 148 321 20 Male Grad 92 209 19 Female Grad 81 255 16 Female UG 125 168 15 Male Grad 100 244 18 Male UG 101 363 14 Male UG 115 348 20 Female Grad 88 390 10 Female Grad 91 215 13 Male Grad 92 337 15 Female UG 94 158 16 Male Grad 50 270 10 Female UG 104 171 17 Male UG 96 244 13 Male UG 95 228 15 Female Grad 103 366 20 Female UG 82 176 18 Female UG 140 310 19 Male UG 89 179 16 Male UG 91 246 15 Male Grad 79 217 11 Male UG 122 336 16 Male Grad 95 170 15 Male Grad 84 118 11 Male UG 83 143 11 Female Grad 76 178 19 Female UG 116 242 19 Male UG 84 298 14 Female UG 133 200 14 Male Grad 93 374 14 Male UG 144 252 20 Male Grad 75 386 11 Male UG 46 217 10 Male UG 91 328 11 Male Grad 108 180 16 Male Grad 126 368 14 Male Grad 83 140 20 Female Grad 89 200 15 Male UG 139 348 18 Male UG 67 279 12 Female UG 89 143 17 Male UG 43 185 12 Female UG 102 302 11 Male Grad 116 194 19 Male Grad 91 128 12 Male Grad 79 163 18 Female Grad 129 247 19 Male UG 112 310 15 Male UG 108 321 17 Male UG 62 161 19 Female UG 125 317 16 Male UG 90 368 10 Male UG 101 215 18 Male Grad 99 263 12 Male Grad 80 241 15 Male UG 59 112 13 Male UG 54 121 11 Female UG 126 247 14 Male Grad 73 228 15 Male UG 101 178 11 Female Grad 111 319 19 Female UG 83 145 13 Male UG 135 378 20 Female Grad 103 168 12 Male Grad 86 129 12 Female Grad 90 351 11 Male UG 98 199 14 Male Grad 94 353 12 Male UG 62 148 18 Female UG 98 226 14 Male UG 116 187 19 Male UG 82 313 18 Female UG 98 205 12 Male Grad 134 272 19 Male UG 71 289 12 Female UG 107 193 16 Male Grad 66 349 14 Female UG 140 374 18 Male Grad 93 371 14 Male UG 84 147 16 Male UG 104 262 14 Male Grad 113 230 11 Male Grad 89 351 14 Female UG 101 198 15 Male Grad 90 366 12 Male Grad 115 329 19 Female Grad 109 168 15 Male Grad 105 131 12 Male Grad 109 162 19 Male Grad 122 128 18 Male Grad 94 107 15 Male UG 77 293 10 Female UG 130 226 17 Male Grad 128 363 18 Male UG 61 283 13 Female UG 136 382 19 Male UG 112 238 17 Male UG 91 266 14 Male UG 85 283 11 Male Grad 93 238 11 Male Grad 99 237 15 Male UG 150 393 19 Male UG 91 285 14 Male UG 53 162 14 Female UG 126 319 19 Male UG 92 190 10 Male Grad 135 322 15 Male Grad 83 143 17 Female Grad 98 109 20 Male Grad 108 228 14 Male UG 108 373 14 Female Grad 58 155 11 Male UG 126 294 18 Male UG 110 199 11 Male Grad 69 160 14 Male UG 82 164 13 Male UG 105 190 14 Male Grad 115 366 15 Female Grad 111 319 15 Male UG 126 344 16 Female UG 85 377 12 Female Grad 152 380 19 Male Grad 109 366 18 Male UG 87 306 12 Female Grad 139 325 16 Male Grad 101 332 12 Male UG 109 365 17 Male UG 112 381 15 Male UG 87 202 13 Male UG 101 196 17 Male Grad 111 368 14 Male UG 80 312 11 Female Grad 93 230 16 Female Grad 115 264 14 Male UG 62 205 10 Male Grad 117 348 12 Male Grad 125 333 18 Male UG 85 115 13 Male Grad 66 126 17 Female UG 88 244 10 Male UG 71 189 11 Male Grad 91 333 16 Female Grad 102 221 17 Male UG 49 111 17 Female UG 131 191 14 Male Grad 106 184 17 Male UG 110 188 20 Female Grad 59 264 10 Female UG 53 263 13 Female UG 70 118 11 Male Grad 112 200 13 Male Grad 115 273 14 Male Grad 80 201 11 Female Grad 97 347 10 Male UG 80 114 11 Male UG 90 204 13 Female Grad 71 124 16 Female Grad 116 320 13 Male Grad 107 310 13 Male Grad 114 216 16 Male Grad 152 360 20 Male UG 69 101 11 Male UG 99 359 13 Female Grad 95 135 16 Female Grad 74 107 12 Male UG 116 215 12 Male Grad 107 152 12 Male Grad 88 139 13 Male Grad 75 324 15 Female UG 125 209 19 Male UG 61 139 11 Male UG 103 120 13 Male Grad 63 176 14 Female UG 95 162 17 Female Grad 123 375 11 Male Grad 99 189 19 Female UG 79 106 16 Male UG 81 137 15 Male UG 95 250 13 Female Grad 115 371 10 Male Grad 42 116 12 Female UG 87 142 19 Male UG 105 265 14 Male Grad 108 284 18 Male Grad 117 202 19 Male UG