Week 3 Final Project
2023-01-12
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Question: how do different components of the teaching ratings data
affect the evaluation of teachers? ## Slide with Bullets
- Data Exploration
- plots and analysis
- conclusion
Hypothesis
Question: how do different components of the teaching ratings data
affect the evaluation of teachers?
by exploring this data, I am going to try to understand the
relationship between different components of the data and the teachers’
evaluations.
reading the data into the source:
## X minority age gender credits beauty eval division native tenure
## 1 1 yes 36 female more 0.2899157 4.3 upper yes yes
## 2 2 no 59 male more -0.7377322 4.5 upper yes yes
## 3 3 no 51 male more -0.5719836 3.7 upper yes yes
## 4 4 no 40 female more -0.6779634 4.3 upper yes yes
## 5 5 no 31 female more 1.5097940 4.4 upper yes yes
## 6 6 no 62 male more 0.5885687 4.2 upper yes yes
## 7 7 no 33 female more -0.1260010 4.0 upper yes yes
## 8 8 no 51 female more -0.2581899 3.4 upper yes yes
## 9 9 no 33 female more 0.1496926 4.5 upper yes yes
## 10 10 no 47 male more 0.5409170 3.9 upper yes no
## 11 11 yes 35 male more 0.2316134 3.1 upper no yes
## 12 12 no 37 male more -0.0666737 4.0 upper yes no
## 13 13 no 42 male more 0.2168924 3.8 upper yes yes
## 14 14 no 49 male more -0.2586962 3.4 upper no yes
## 15 15 no 37 female more 0.5502878 2.9 upper yes yes
## 16 16 no 45 male more -0.0620358 4.5 upper yes yes
## 17 17 no 56 female more -0.9823852 4.0 upper yes no
## 18 18 no 48 male more -0.0543440 3.8 lower yes no
## 19 19 no 46 female more -0.0680143 4.3 upper yes yes
## 20 20 no 57 female more 0.0294137 3.4 upper yes no
## 21 21 no 52 female more 0.2394859 3.4 upper yes no
## 22 22 yes 29 female more -0.8487269 3.3 upper no yes
## 23 23 no 62 male more -0.7330914 4.3 upper yes yes
## 24 24 no 64 male more -0.1111221 4.4 upper yes yes
## 25 25 no 34 female more 1.7755170 4.6 upper yes yes
## 26 26 no 58 male more -0.3218485 4.2 upper yes yes
## 27 27 yes 52 male more 0.2116939 4.0 upper no yes
## 28 28 no 73 male more -0.7176450 3.3 upper yes yes
## 29 29 no 70 male more -0.7326927 4.4 upper yes yes
## 30 30 no 41 female more 0.4081676 2.3 upper yes yes
## 31 31 no 63 male more -0.0102077 3.5 upper yes no
## 32 32 no 47 male more -0.9239570 4.7 upper yes yes
## 33 33 no 39 male more 0.5766805 3.9 lower yes yes
## 34 34 yes 47 female more -0.0836015 4.0 lower yes yes
## 35 35 no 54 male more -1.0795580 4.3 upper yes yes
## 36 36 yes 44 female more 1.0409020 3.8 upper yes yes
## 37 37 yes 47 male more -1.0521080 3.8 upper yes yes
## 38 38 no 62 male more -0.7277681 4.0 upper yes yes
## 39 39 no 60 male more -0.3953965 4.6 upper yes yes
## 40 40 no 37 male more 0.9333959 3.5 upper yes yes
## 41 41 no 42 male more -0.2377786 4.7 upper yes yes
## 42 42 no 35 male more 0.2749080 4.2 upper yes yes
## 43 43 no 39 female more 1.9700230 3.4 lower yes no
## 44 44 no 49 male more 1.0509500 3.9 upper yes yes
## 45 45 no 61 male more 0.2418185 4.5 lower yes yes
## 46 46 no 33 male more 1.3493950 4.7 upper yes yes
## 47 47 no 58 female more 0.1115635 3.5 upper yes yes
## 48 48 no 56 female more -0.2577254 3.7 upper yes yes
## 49 49 no 50 female more -0.6562689 4.0 lower yes no
## 50 50 no 52 male more -0.6563948 4.1 upper yes yes
## 51 51 no 33 female more 0.7244775 4.4 upper yes yes
## 52 52 no 57 male more 0.6318343 4.2 upper yes yes
## 53 53 no 38 female more 1.0709440 4.5 upper yes yes
## 54 54 no 34 female more -1.4504940 3.8 lower yes yes
## 55 55 no 34 male more 1.1558800 3.1 upper yes yes
## 56 56 no 32 male more -0.3260148 3.7 lower yes yes
## 57 57 no 42 female more 0.8846435 3.9 lower yes yes
## 58 58 no 43 female more -0.5583452 4.0 lower yes yes
## 59 59 no 35 male more -0.3415543 3.3 upper no yes
## 60 60 no 62 female more -0.5040575 3.1 upper yes yes
## 61 61 no 42 male more -0.9005804 4.0 upper yes yes
## 62 62 no 39 male more 0.6430142 4.3 upper yes yes
## 63 63 no 52 female more 0.7735240 3.7 upper yes yes
## 64 64 no 52 female more 1.0639380 3.4 upper yes yes
## 65 65 no 52 female more -1.0903890 4.3 upper yes no
## 66 66 no 64 male more -1.0691620 3.7 upper yes yes
## 67 67 no 50 male more 1.4156950 4.2 upper yes yes
## 68 68 no 60 male more -1.4229190 2.2 upper yes yes
## 69 69 no 51 female more 0.3918222 3.0 upper yes yes
## 70 70 no 43 male more -0.4899626 4.3 lower yes yes
## 71 71 yes 50 male single -0.5835869 4.6 lower yes no
## 72 72 no 52 male more 0.7566829 3.5 upper yes yes
## 73 73 no 51 male more 0.8808186 4.6 lower yes yes
## 74 74 no 38 male more -0.5665014 3.7 lower yes yes
## 75 75 no 47 female more 0.3394037 3.8 lower yes yes
## 76 76 yes 43 female more -0.1513687 3.6 lower yes yes
## 77 77 no 38 female more -1.0249970 4.4 lower yes no
## 78 78 no 43 male more -0.0252444 4.1 lower yes yes
## 79 79 no 57 male more -0.7467875 4.3 upper yes yes
## 80 80 no 51 female more 0.9889485 4.0 upper yes yes
## 81 81 no 45 male single -0.5324199 4.8 lower yes no
## 82 82 no 57 male more -0.7668921 3.5 lower yes yes
## 83 83 no 47 female more 1.1542560 3.6 lower yes no
## 84 84 yes 54 female more 1.2326020 3.8 lower yes yes
## 85 85 no 58 male more 1.7743340 4.7 lower yes no
## 86 86 no 42 male more 1.7731510 4.9 lower yes yes
## 87 87 no 33 male more 0.7245926 4.3 lower yes yes
## 88 88 no 62 male more -1.1816260 3.3 lower yes yes
## 89 89 yes 35 female more 1.7694520 3.4 lower yes yes
## 90 90 no 61 male more -0.5872612 3.6 lower yes yes
## 91 91 no 52 female more -0.0018324 4.0 lower yes yes
## 92 92 no 60 female more -0.0566766 3.9 upper no yes
## 93 93 no 32 male more 1.2313940 4.3 lower yes yes
## 94 94 yes 42 female more 0.4203998 3.3 upper no yes
## 95 95 yes 36 female more 0.2899157 3.7 upper yes yes
## 96 96 yes 36 female more 0.2899157 3.6 upper yes yes
## 97 97 yes 36 female more 0.2899157 4.4 upper yes yes
## 98 98 no 59 male more -0.7377322 4.0 upper yes yes
## 99 99 no 59 male more -0.7377322 2.1 upper yes yes
## 100 100 no 51 male more -0.5719836 3.2 upper yes yes
## 101 101 no 40 female more -0.6779634 3.5 upper yes yes
## 102 102 no 40 female more -0.6779634 4.1 upper yes yes
## 103 103 no 40 female more -0.6779634 4.6 upper yes yes
## 104 104 no 40 female more -0.6779634 3.8 upper yes yes
## 105 105 no 40 female more -0.6779634 3.8 upper yes yes
## 106 106 no 40 female more -0.6779634 3.8 upper yes yes
## 107 107 no 40 female more -0.6779634 4.2 upper yes yes
## 108 108 no 31 female more 1.5097940 3.9 upper yes yes
## 109 109 no 31 female more 1.5097940 4.5 upper yes yes
## 110 110 no 31 female more 1.5097940 4.5 upper yes yes
## 111 111 no 31 female more 1.5097940 4.4 upper yes yes
## 112 112 no 31 female more 1.5097940 4.4 upper yes yes
## 113 113 no 62 male more 0.5885687 4.4 upper yes yes
## 114 114 no 62 male more 0.5885687 4.5 upper yes yes
## 115 115 no 62 male more 0.5885687 4.3 upper yes yes
## 116 116 no 62 male more 0.5885687 4.6 upper yes yes
## 117 117 no 62 male more 0.5885687 4.8 upper yes yes
## 118 118 no 62 male more 0.5885687 4.3 upper yes yes
## 119 119 no 33 female more -0.1260010 4.0 upper yes yes
## 120 120 no 33 female more -0.1260010 4.0 upper yes yes
## 121 121 no 33 female more -0.1260010 3.9 upper yes yes
## 122 122 no 33 female more -0.1260010 3.3 upper yes yes
## 123 123 no 51 female more -0.2581899 4.5 upper yes yes
## 124 124 no 51 female more -0.2581899 4.5 upper yes yes
## 125 125 no 51 female more -0.2581899 4.5 upper yes yes
## 126 126 no 51 female more -0.2581899 2.5 lower yes yes
## 127 127 no 51 female more -0.2581899 4.3 upper yes yes
## 128 128 no 51 female more -0.2581899 4.5 upper yes yes
## 129 129 no 33 female more 0.1496926 4.7 upper yes yes
## 130 130 no 33 female more 0.1496926 3.5 upper yes yes
## 131 131 no 33 female more 0.1496926 4.5 upper yes yes
## 132 132 no 33 female more 0.1496926 3.8 upper yes yes
## 133 133 no 33 female more 0.1496926 4.5 upper yes yes
## 134 134 no 33 female more 0.1496926 4.3 upper yes yes
## 135 135 no 47 male more 0.5409170 3.9 upper yes no
## 136 136 no 47 male more 0.5409170 4.3 upper yes no
## 137 137 no 47 male more 0.5409170 4.2 upper yes no
## 138 138 no 47 male more 0.5409170 5.0 lower yes no
## 139 139 no 47 male more 0.5409170 5.0 lower yes no
## 140 140 no 47 male more 0.5409170 4.6 upper yes no
## 141 141 no 47 male more 0.5409170 5.0 lower yes no
## 142 142 no 47 male more 0.5409170 4.7 upper yes no
## 143 143 no 47 male more 0.5409170 5.0 lower yes no
## 144 144 yes 35 male more 0.2316134 2.7 upper no yes
## 145 145 yes 35 male more 0.2316134 4.0 upper no yes
## 146 146 no 37 male more -0.0666737 4.4 upper yes no
## 147 147 no 37 male more -0.0666737 4.4 upper yes no
## 148 148 no 37 male more -0.0666737 4.3 upper yes no
## 149 149 no 37 male more -0.0666737 3.5 upper yes no
## 150 150 no 42 male more 0.2168924 3.8 upper yes yes
## 151 151 no 42 male more 0.2168924 3.9 upper yes yes
## 152 152 no 42 male more 0.2168924 3.7 upper yes yes
## 153 153 no 42 male more 0.2168924 3.3 upper yes yes
## 154 154 no 42 male more 0.2168924 4.0 upper yes yes
## 155 155 no 42 male more 0.2168924 3.8 upper yes yes
## 156 156 no 49 male more -0.2586962 4.2 upper no yes
## 157 157 no 49 male more -0.2586962 3.1 upper no yes
## 158 158 no 49 male more -0.2586962 3.6 upper no yes
## 159 159 no 37 female more 0.5502878 3.3 upper yes yes
## 160 160 no 37 female more 0.5502878 2.9 upper yes yes
## 161 161 no 37 female more 0.5502878 3.1 upper yes yes
## 162 162 no 45 male more -0.0620358 4.0 lower yes yes
## 163 163 no 45 male more -0.0620358 4.0 lower yes yes
## 164 164 no 45 male more -0.0620358 4.2 upper yes yes
## 165 165 no 45 male more -0.0620358 3.8 upper yes yes
## 166 166 no 45 male more -0.0620358 4.3 lower yes yes
## 167 167 no 56 female more -0.9823852 4.6 upper yes no
## 168 168 no 56 female more -0.9823852 4.3 upper yes no
## 169 169 no 56 female more -0.9823852 3.6 upper yes no
## 170 170 no 56 female more -0.9823852 4.2 upper yes no
## 171 171 no 48 male more -0.0543440 3.9 upper yes no
## 172 172 no 48 male more -0.0543440 4.1 upper yes no
## 173 173 no 48 male more -0.0543440 4.0 lower yes no
## 174 174 no 48 male more -0.0543440 4.3 lower yes no
## 175 175 no 48 male more -0.0543440 3.9 upper yes no
## 176 176 no 48 male more -0.0543440 4.2 lower yes no
## 177 177 no 48 male more -0.0543440 4.2 lower yes no
## 178 178 no 46 female more -0.0680143 4.9 lower yes yes
## 179 179 no 46 female more -0.0680143 4.0 upper yes yes
## 180 180 no 46 female more -0.0680143 4.3 upper yes yes
## 181 181 no 46 female more -0.0680143 4.9 upper yes yes
## 182 182 no 46 female more -0.0680143 3.9 upper yes yes
## 183 183 no 46 female more -0.0680143 4.9 lower yes yes
## 184 184 no 46 female more -0.0680143 3.9 upper yes yes
## 185 185 no 46 female more -0.0680143 4.0 lower yes yes
## 186 186 no 57 female more 0.0294137 3.5 upper yes no
## 187 187 no 57 female more 0.0294137 3.9 upper yes no
## 188 188 no 57 female more 0.0294137 4.0 upper yes no
## 189 189 no 57 female more 0.0294137 3.6 upper yes no
## 190 190 no 57 female more 0.0294137 3.0 upper yes no
## 191 191 no 57 female more 0.0294137 3.0 upper yes no
## 192 192 no 57 female more 0.0294137 3.6 upper yes no
## 193 193 no 57 female more 0.0294137 3.6 upper yes no
## 194 194 no 57 female more 0.0294137 3.2 upper yes no
## 195 195 no 52 female more 0.2394859 3.9 upper yes no
## 196 196 no 52 female more 0.2394859 3.5 upper yes no
## 197 197 no 52 female more 0.2394859 3.5 upper yes no
## 198 198 no 52 female single 0.2394859 3.1 upper yes no
## 199 199 no 52 female more 0.2394859 4.2 upper yes no
## 200 200 no 62 male more -0.7330914 3.6 lower yes yes
## 201 201 no 62 male more -0.7330914 4.5 upper yes yes
## 202 202 no 62 male more -0.7330914 3.7 lower yes yes
## 203 203 no 62 male more -0.7330914 3.4 lower yes yes
## 204 204 no 64 male more -0.1111221 4.5 upper yes yes
## 205 205 no 64 male more -0.1111221 4.6 upper yes yes
## 206 206 no 64 male more -0.1111221 4.8 upper yes yes
## 207 207 no 64 male more -0.1111221 4.5 upper yes yes
## 208 208 no 64 male more -0.1111221 4.4 upper yes yes
## 209 209 no 64 male more -0.1111221 4.1 upper yes yes
## 210 210 no 34 female more 1.7755170 3.9 upper yes yes
## 211 211 no 58 male more -0.3218485 4.3 upper yes yes
## 212 212 no 58 male more -0.3218485 3.5 lower yes yes
## 213 213 no 58 male more -0.3218485 4.0 upper yes yes
## 214 214 no 58 male more -0.3218485 4.0 lower yes yes
## 215 215 yes 52 male more 0.2116939 4.6 upper no yes
## 216 216 yes 52 male more 0.2116939 4.6 upper no yes
## 217 217 yes 52 male more 0.2116939 3.7 upper no yes
## 218 218 yes 52 male more 0.2116939 3.5 upper no yes
## 219 219 yes 52 male more 0.2116939 3.6 upper no yes
## 220 220 yes 52 male more 0.2116939 3.9 upper no yes
## 221 221 no 73 male more -0.7176450 4.2 upper yes yes
## 222 222 no 73 male more -0.7176450 3.2 upper yes yes
## 223 223 no 73 male more -0.7176450 4.9 upper yes yes
## 224 224 no 70 male more -0.7326927 4.0 upper yes yes
## 225 225 no 70 male more -0.7326927 3.5 upper yes yes
## 226 226 no 70 male more -0.7326927 3.4 upper yes yes
## 227 227 no 63 male more -0.0102077 4.2 upper yes no
## 228 228 no 63 male more -0.0102077 3.5 upper yes no
## 229 229 no 63 male more -0.0102077 4.4 upper yes no
## 230 230 no 63 male more -0.0102077 3.7 upper yes no
## 231 231 no 63 male more -0.0102077 3.4 upper yes no
## 232 232 no 63 male more -0.0102077 3.0 upper yes no
## 233 233 no 47 male more -0.9239570 3.9 upper yes yes
## 234 234 no 47 male more -0.9239570 2.8 upper yes yes
## 235 235 no 39 male more 0.5766805 3.7 lower yes yes
## 236 236 no 39 male more 0.5766805 4.6 upper yes yes
## 237 237 no 39 male more 0.5766805 4.2 upper yes yes
## 238 238 no 39 male more 0.5766805 4.4 upper yes yes
## 239 239 yes 47 female more -0.0836015 3.8 upper yes yes
## 240 240 yes 47 female single -0.0836015 4.1 lower yes yes
## 241 241 yes 47 female more -0.0836015 3.7 lower yes yes
## 242 242 yes 47 female more -0.0836015 4.1 upper yes yes
## 243 243 yes 47 female more -0.0836015 3.0 lower yes yes
## 244 244 yes 47 female more -0.0836015 3.2 lower yes yes
## 245 245 yes 47 female more -0.0836015 2.8 lower yes yes
## 246 246 yes 47 female single -0.0836015 4.7 lower yes yes
## 247 247 yes 47 female more -0.0836015 4.2 lower yes yes
## 248 248 yes 47 female more -0.0836015 3.2 lower yes yes
## 249 249 yes 47 female more -0.0836015 3.1 lower yes yes
## 250 250 yes 47 female more -0.0836015 4.0 lower yes yes
## 251 251 no 54 male more -1.0795580 4.2 upper yes yes
## 252 252 no 54 male more -1.0795580 4.3 upper yes yes
## 253 253 yes 44 female more 1.0409020 3.3 upper yes yes
## 254 254 yes 44 female more 1.0409020 4.1 upper yes yes
## 255 255 yes 44 female more 1.0409020 3.7 upper yes yes
## 256 256 yes 47 male more -1.0521080 3.3 upper yes yes
## 257 257 yes 47 male more -1.0521080 3.8 upper yes yes
## 258 258 yes 47 male more -1.0521080 3.4 upper yes yes
## 259 259 yes 47 male more -1.0521080 4.2 upper yes yes
## 260 260 yes 47 male more -1.0521080 3.8 upper yes yes
## 261 261 yes 47 male more -1.0521080 3.5 upper yes yes
## 262 262 yes 47 male more -1.0521080 3.3 upper yes yes
## 263 263 no 62 male more -0.7277681 4.3 upper yes yes
## 264 264 no 62 male more -0.7277681 4.1 upper yes yes
## 265 265 no 60 male more -0.3953965 4.5 upper yes yes
## 266 266 no 60 male more -0.3953965 4.5 upper yes yes
## 267 267 no 60 male more -0.3953965 4.6 upper yes yes
## 268 268 no 60 male more -0.3953965 4.4 upper yes yes
## 269 269 no 60 male more -0.3953965 4.1 upper yes yes
## 270 270 no 60 male more -0.3953965 4.5 upper yes yes
## 271 271 no 60 male more -0.3953965 4.3 lower yes yes
## 272 272 no 42 male more -0.2377786 4.4 upper yes yes
## 273 273 no 42 male more -0.2377786 4.9 upper yes yes
## 274 274 no 42 male more -0.2377786 4.7 upper yes yes
## 275 275 no 42 male more -0.2377786 4.6 upper yes yes
## 276 276 no 35 male more 0.2749080 4.8 lower yes yes
## 277 277 no 35 male more 0.2749080 4.2 upper yes yes
## 278 278 no 35 male more 0.2749080 4.6 lower yes yes
## 279 279 no 39 female more 1.9700230 4.7 upper yes no
## 280 280 no 39 female more 1.9700230 4.6 upper yes no
## 281 281 no 39 female more 1.9700230 3.6 lower yes no
## 282 282 no 49 male more 1.0509500 3.9 upper yes yes
## 283 283 no 49 male more 1.0509500 4.0 upper yes yes
## 284 284 no 61 male more 0.2418185 4.4 upper yes yes
## 285 285 no 61 male more 0.2418185 4.5 lower yes yes
## 286 286 no 61 male more 0.2418185 4.4 upper yes yes
## 287 287 no 33 male more 1.3493950 3.0 upper yes yes
## 288 288 no 33 male more 1.3493950 3.7 upper yes yes
## 289 289 no 56 female more -0.2577254 3.6 upper yes yes
## 290 290 no 56 female more -0.2577254 3.1 upper yes yes
## 291 291 no 50 female single -0.6562689 3.8 lower yes no
## 292 292 no 50 female single -0.6562689 4.7 lower yes no
## 293 293 no 50 female more -0.6562689 3.8 upper yes no
## 294 294 no 50 female more -0.6562689 3.8 upper yes no
## 295 295 no 50 female more -0.6562689 2.8 upper yes no
## 296 296 no 50 female more -0.6562689 4.0 upper yes no
## 297 297 no 52 male more -0.6563948 4.0 upper yes yes
## 298 298 no 52 male more -0.6563948 3.5 upper yes yes
## 299 299 no 52 male more -0.6563948 3.4 upper yes yes
## 300 300 no 52 male more -0.6563948 4.0 upper yes yes
## 301 301 no 52 male more -0.6563948 3.5 upper yes yes
## 302 302 no 52 male more -0.6563948 3.8 upper yes yes
## 303 303 no 52 male more -0.6563948 4.7 upper yes yes
## 304 304 no 52 male more -0.6563948 3.9 upper yes yes
## 305 305 no 52 male more -0.6563948 4.5 upper yes yes
## 306 306 no 52 male more -0.6563948 4.2 upper yes yes
## 307 307 no 52 male more -0.6563948 4.7 upper yes yes
## 308 308 no 52 male more -0.6563948 4.0 upper yes yes
## 309 309 no 33 female more 0.7244775 4.8 upper yes yes
## 310 310 no 33 female more 0.7244775 4.8 upper yes yes
## 311 311 no 33 female more 0.7244775 4.4 upper yes yes
## 312 312 no 33 female more 0.7244775 4.7 upper yes yes
## 313 313 no 33 female more 0.7244775 4.5 upper yes yes
## 314 314 no 57 male more 0.6318343 4.2 upper yes yes
## 315 315 no 57 male more 0.6318343 4.4 upper yes yes
## 316 316 no 57 male more 0.6318343 4.1 upper yes yes
## 317 317 no 38 female more 1.0709440 4.2 lower yes yes
## 318 318 no 38 female more 1.0709440 4.8 upper yes yes
## 319 319 no 38 female more 1.0709440 4.4 upper yes yes
## 320 320 no 38 female more 1.0709440 4.7 upper yes yes
## 321 321 no 38 female more 1.0709440 4.2 lower yes yes
## 322 322 no 38 female more 1.0709440 4.5 upper yes yes
## 323 323 no 34 female more -1.4504940 3.4 lower yes yes
## 324 324 no 34 female more -1.4504940 3.7 lower yes yes
## 325 325 no 34 female more -1.4504940 3.6 upper yes yes
## 326 326 no 34 female more -1.4504940 3.9 upper yes yes
## 327 327 no 34 female more -1.4504940 3.9 upper yes yes
## 328 328 no 34 male more 1.1558800 3.7 upper yes yes
## 329 329 no 34 male more 1.1558800 3.0 lower yes yes
## 330 330 no 32 male more -0.3260148 3.6 lower yes yes
## 331 331 no 32 male more -0.3260148 3.6 lower yes yes
## 332 332 no 32 male more -0.3260148 4.3 upper yes yes
## 333 333 no 32 male more -0.3260148 4.5 upper yes yes
## 334 334 no 42 female more 0.8846435 3.9 upper yes yes
## 335 335 no 43 female more -0.5583452 4.6 upper yes yes
## 336 336 no 43 female more -0.5583452 4.1 lower yes yes
## 337 337 no 43 female more -0.5583452 4.2 lower yes yes
## 338 338 no 43 female more -0.5583452 4.1 lower yes yes
## 339 339 no 43 female more -0.5583452 3.1 lower yes yes
## 340 340 no 43 female more -0.5583452 3.6 lower yes yes
## 341 341 no 43 female more -0.5583452 4.2 upper yes yes
## 342 342 no 43 female more -0.5583452 3.0 lower yes yes
## 343 343 no 43 female more -0.5583452 4.2 upper yes yes
## 344 344 no 35 male more -0.3415543 3.4 lower no yes
## 345 345 no 62 female more -0.5040575 3.1 upper yes yes
## 346 346 no 62 female more -0.5040575 2.7 upper yes yes
## 347 347 no 52 female more 0.7735240 3.9 upper yes yes
## 348 348 no 52 female more 1.0639380 3.9 upper yes yes
## 349 349 no 52 female more 1.0639380 3.6 upper yes yes
## 350 350 no 52 female more -1.0903890 3.7 upper yes no
## 351 351 no 52 female more -1.0903890 3.6 upper yes no
## 352 352 no 52 female more -1.0903890 4.4 upper yes no
## 353 353 no 52 female more -1.0903890 4.3 upper yes no
## 354 354 no 52 female more -1.0903890 4.1 upper yes no
## 355 355 no 52 female more -1.0903890 3.7 upper yes no
## 356 356 no 64 male more -1.0691620 3.6 upper yes yes
## 357 357 no 64 male more -1.0691620 2.8 upper yes yes
## 358 358 no 64 male more -1.0691620 4.0 upper yes yes
## 359 359 no 64 male more -1.0691620 4.4 upper yes yes
## 360 360 no 64 male more -1.0691620 3.6 upper yes yes
## 361 361 no 50 male more 1.4156950 3.7 upper yes yes
## 362 362 no 60 male more -1.4229190 2.9 upper yes yes
## 363 363 no 60 male more -1.4229190 2.6 upper yes yes
## 364 364 no 43 male single -0.4899626 4.8 lower yes yes
## 365 365 no 43 male single -0.4899626 4.9 lower yes yes
## 366 366 no 43 male more -0.4899626 4.3 lower yes yes
## 367 367 no 43 male more -0.4899626 4.4 lower yes yes
## 368 368 no 43 male single -0.4899626 4.3 lower yes yes
## 369 369 no 43 male single -0.4899626 4.7 lower yes yes
## 370 370 no 43 male single -0.4899626 4.3 lower yes yes
## 371 371 no 43 male more -0.4899626 4.6 lower yes yes
## 372 372 yes 50 male single -0.5835869 4.9 lower yes no
## 373 373 yes 50 male single -0.5835869 4.8 lower yes no
## 374 374 yes 50 male single -0.5835869 4.7 lower yes no
## 375 375 yes 50 male single -0.5835869 4.8 lower yes no
## 376 376 yes 50 male single -0.5835869 4.9 lower yes no
## 377 377 yes 50 male single -0.5835869 4.8 lower yes no
## 378 378 yes 50 male single -0.5835869 4.8 lower yes no
## 379 379 yes 50 male single -0.5835869 5.0 lower yes no
## 380 380 yes 50 male single -0.5835869 4.5 lower yes no
## 381 381 no 52 male more 0.7566829 3.8 upper yes yes
## 382 382 no 52 male more 0.7566829 3.8 upper yes yes
## 383 383 no 52 male more 0.7566829 3.8 upper yes yes
## 384 384 no 52 male more 0.7566829 4.0 upper yes yes
## 385 385 no 52 male more 0.7566829 4.2 upper yes yes
## 386 386 no 51 male more 0.8808186 4.5 lower yes yes
## 387 387 no 51 male more 0.8808186 4.5 lower yes yes
## 388 388 no 51 male more 0.8808186 4.6 lower yes yes
## 389 389 no 51 male more 0.8808186 4.7 lower yes yes
## 390 390 no 38 male more -0.5665014 4.1 lower yes yes
## 391 391 no 38 male more -0.5665014 3.6 lower yes yes
## 392 392 no 38 male more -0.5665014 4.0 lower yes yes
## 393 393 no 47 female more 0.3394037 3.4 lower yes yes
## 394 394 yes 43 female more -0.1513687 2.8 lower yes yes
## 395 395 no 38 female more -1.0249970 4.1 lower yes no
## 396 396 no 38 female more -1.0249970 3.5 lower yes no
## 397 397 no 38 female more -1.0249970 3.4 lower yes no
## 398 398 no 38 female more -1.0249970 4.1 lower yes no
## 399 399 no 38 female more -1.0249970 4.2 lower yes no
## 400 400 no 43 male more -0.0252444 4.3 lower yes yes
## 401 401 no 43 male more -0.0252444 4.1 upper yes yes
## 402 402 no 43 male more -0.0252444 3.4 upper yes yes
## 403 403 no 57 male more -0.7467875 3.5 upper yes yes
## 404 404 no 57 male more -0.7467875 3.6 upper yes yes
## 405 405 no 51 female more 0.9889485 3.7 upper yes yes
## 406 406 no 51 female more 0.9889485 3.0 upper yes yes
## 407 407 no 51 female more 0.9889485 4.6 upper yes yes
## 408 408 no 45 male single -0.5324199 4.0 lower yes no
## 409 409 no 45 male more -0.5324199 4.8 lower yes no
## 410 410 no 45 male single -0.5324199 4.6 lower yes no
## 411 411 no 57 male more -0.7668921 3.4 lower yes yes
## 412 412 no 57 male more -0.7668921 4.4 lower yes yes
## 413 413 no 57 male more -0.7668921 3.6 lower yes yes
## 414 414 no 57 male more -0.7668921 3.8 lower yes yes
## 415 415 no 57 male more -0.7668921 3.7 lower yes yes
## 416 416 no 57 male more -0.7668921 4.7 lower yes yes
## 417 417 no 57 male more -0.7668921 4.5 lower yes yes
## 418 418 no 57 male more -0.7668921 5.0 upper yes yes
## 419 419 no 57 male more -0.7668921 3.8 lower yes yes
## 420 420 no 57 male more -0.7668921 4.1 lower yes yes
## 421 421 no 47 female single 1.1542560 4.3 lower yes no
## 422 422 no 47 female single 1.1542560 4.4 lower yes no
## 423 423 no 47 female single 1.1542560 4.7 lower yes no
## 424 424 no 47 female more 1.1542560 3.9 lower yes no
## 425 425 yes 54 female more 1.2326020 4.8 lower yes yes
## 426 426 yes 54 female more 1.2326020 4.3 lower yes yes
## 427 427 yes 54 female more 1.2326020 4.6 lower yes yes
## 428 428 yes 54 female more 1.2326020 3.8 lower yes yes
## 429 429 no 58 male more 1.7743340 5.0 lower yes no
## 430 430 no 58 male more 1.7743340 4.9 lower yes no
## 431 431 no 58 male more 1.7743340 4.6 lower yes no
## 432 432 no 58 male more 1.7743340 4.6 lower yes no
## 433 433 no 58 male more 1.7743340 5.0 lower yes no
## 434 434 no 58 male more 1.7743340 4.6 lower yes no
## 435 435 no 58 male more 1.7743340 4.9 lower yes no
## 436 436 no 42 male more 1.7731510 4.0 lower yes yes
## 437 437 no 42 male more 1.7731510 3.9 upper yes yes
## 438 438 no 33 male more 0.7245926 4.1 lower yes yes
## 439 439 no 62 male more -1.1816260 2.9 lower yes yes
## 440 440 no 62 male more -1.1816260 2.8 lower yes yes
## 441 441 no 62 male more -1.1816260 2.8 lower yes yes
## 442 442 no 62 male more -1.1816260 4.0 upper yes yes
## 443 443 no 62 male more -1.1816260 3.3 lower yes yes
## 444 444 no 62 male more -1.1816260 3.0 lower yes yes
## 445 445 yes 35 female more 1.7694520 3.6 lower yes yes
## 446 446 yes 35 female more 1.7694520 3.8 lower yes yes
## 447 447 no 61 male more -0.5872612 3.9 lower yes yes
## 448 448 no 52 female more -0.0018324 4.7 lower yes yes
## 449 449 no 52 female more -0.0018324 4.7 lower yes yes
## 450 450 no 60 female more -0.0566766 3.9 upper no yes
## 451 451 no 60 female more -0.0566766 4.4 upper no yes
## 452 452 no 60 female more -0.0566766 3.6 upper no yes
## 453 453 no 60 female more -0.0566766 4.2 upper no yes
## 454 454 no 60 female more -0.0566766 3.4 upper no yes
## 455 455 no 60 female more -0.0566766 4.0 upper no yes
## 456 456 no 32 male more 1.2313940 4.2 lower yes yes
## 457 457 no 32 male more 1.2313940 4.4 upper yes yes
## 458 458 no 32 male more 1.2313940 4.5 lower yes yes
## 459 459 no 32 male more 1.2313940 3.2 lower yes yes
## 460 460 no 32 male more 1.2313940 4.3 upper yes yes
## 461 461 yes 42 female more 0.4203998 3.3 upper no yes
## 462 462 yes 42 female more 0.4203998 3.2 upper no yes
## 463 463 yes 42 female single 0.4203998 4.1 lower no yes
## students allstudents prof
## 1 24 43 1
## 2 17 20 2
## 3 55 55 3
## 4 40 46 4
## 5 42 48 5
## 6 182 282 6
## 7 33 41 7
## 8 25 41 8
## 9 48 60 9
## 10 16 19 10
## 11 18 25 11
## 12 30 34 12
## 13 28 40 13
## 14 30 36 14
## 15 23 28 15
## 16 23 33 16
## 17 27 41 17
## 18 100 135 18
## 19 25 31 19
## 20 17 28 20
## 21 19 22 21
## 22 19 26 22
## 23 30 39 23
## 24 15 24 24
## 25 20 26 25
## 26 84 159 26
## 27 13 16 27
## 28 12 17 28
## 29 47 134 29
## 30 10 12 30
## 31 28 43 31
## 32 10 15 32
## 33 86 246 33
## 34 21 21 34
## 35 15 15 35
## 36 30 55 36
## 37 20 27 37
## 38 12 13 38
## 39 25 34 39
## 40 15 17 40
## 41 13 14 41
## 42 42 51 42
## 43 22 24 43
## 44 28 45 44
## 45 22 27 45
## 46 30 31 46
## 47 26 34 47
## 48 12 19 48
## 49 22 27 49
## 50 57 67 50
## 51 10 15 51
## 52 69 77 52
## 53 46 65 53
## 54 54 91 54
## 55 24 36 55
## 56 85 248 56
## 57 44 62 57
## 58 35 51 58
## 59 11 19 59
## 60 22 27 60
## 61 45 86 61
## 62 22 29 62
## 63 64 88 63
## 64 31 44 64
## 65 59 75 65
## 66 9 11 66
## 67 15 16 67
## 68 23 32 68
## 69 47 67 69
## 70 19 22 70
## 71 17 24 71
## 72 46 69 72
## 73 348 574 73
## 74 44 87 74
## 75 19 24 75
## 76 47 103 76
## 77 33 68 77
## 78 10 13 78
## 79 7 13 79
## 80 9 11 80
## 81 12 17 81
## 82 13 14 82
## 83 16 21 83
## 84 18 18 84
## 85 16 17 85
## 86 15 18 86
## 87 85 120 87
## 88 11 38 88
## 89 60 96 89
## 90 27 39 90
## 91 61 111 91
## 92 23 27 92
## 93 98 132 93
## 94 48 84 94
## 95 86 125 1
## 96 76 125 1
## 97 77 123 1
## 98 35 40 2
## 99 39 44 2
## 100 111 195 3
## 101 24 27 4
## 102 24 25 4
## 103 17 20 4
## 104 14 25 4
## 105 37 42 4
## 106 18 20 4
## 107 15 18 4
## 108 40 44 5
## 109 38 48 5
## 110 40 45 5
## 111 52 59 5
## 112 49 87 5
## 113 160 292 6
## 114 79 130 6
## 115 176 285 6
## 116 155 272 6
## 117 166 286 6
## 118 186 302 6
## 119 29 34 7
## 120 37 41 7
## 121 29 41 7
## 122 28 34 7
## 123 21 22 8
## 124 13 21 8
## 125 16 17 8
## 126 24 30 8
## 127 23 23 8
## 128 20 20 8
## 129 29 33 9
## 130 11 44 9
## 131 29 49 9
## 132 25 29 9
## 133 42 48 9
## 134 34 40 9
## 135 12 16 10
## 136 14 15 10
## 137 22 23 10
## 138 10 11 10
## 139 17 29 10
## 140 16 21 10
## 141 15 18 10
## 142 16 19 10
## 143 16 20 10
## 144 30 33 11
## 145 23 24 11
## 146 13 21 12
## 147 24 30 12
## 148 24 25 12
## 149 25 35 12
## 150 18 30 13
## 151 28 42 13
## 152 25 57 13
## 153 40 57 13
## 154 40 51 13
## 155 18 30 13
## 156 31 37 14
## 157 15 29 14
## 158 23 27 14
## 159 34 52 15
## 160 21 26 15
## 161 29 30 15
## 162 45 177 16
## 163 90 199 16
## 164 27 32 16
## 165 35 37 16
## 166 120 161 16
## 167 39 44 17
## 168 35 53 17
## 169 34 49 17
## 170 27 32 17
## 171 20 33 18
## 172 14 19 18
## 173 65 111 18
## 174 95 149 18
## 175 18 27 18
## 176 85 136 18
## 177 113 140 18
## 178 14 15 19
## 179 23 29 19
## 180 23 25 19
## 181 9 18 19
## 182 30 45 19
## 183 15 15 19
## 184 31 38 19
## 185 12 15 19
## 186 10 23 20
## 187 15 19 20
## 188 7 23 20
## 189 7 22 20
## 190 14 20 20
## 191 8 19 20
## 192 17 23 20
## 193 10 22 20
## 194 12 15 20
## 195 27 31 21
## 196 20 21 21
## 197 31 36 21
## 198 17 19 21
## 199 23 37 21
## 200 94 184 23
## 201 46 50 23
## 202 80 157 23
## 203 61 164 23
## 204 51 68 24
## 205 22 47 24
## 206 10 14 24
## 207 11 15 24
## 208 15 24 24
## 209 21 39 24
## 210 33 40 25
## 211 71 151 26
## 212 36 47 26
## 213 73 122 26
## 214 31 45 26
## 215 23 23 27
## 216 12 16 27
## 217 15 18 27
## 218 11 16 27
## 219 12 15 27
## 220 18 28 27
## 221 10 13 28
## 222 16 21 28
## 223 13 17 28
## 224 5 48 29
## 225 34 64 29
## 226 24 69 29
## 227 11 14 31
## 228 10 15 31
## 229 14 18 31
## 230 12 16 31
## 231 8 10 31
## 232 23 47 31
## 233 10 14 32
## 234 10 12 32
## 235 154 316 33
## 236 12 15 33
## 237 14 15 33
## 238 27 29 33
## 239 8 8 34
## 240 16 16 34
## 241 24 26 34
## 242 7 10 34
## 243 25 26 34
## 244 24 26 34
## 245 24 26 34
## 246 20 21 34
## 247 12 12 34
## 248 25 27 34
## 249 26 27 34
## 250 24 25 34
## 251 10 15 35
## 252 16 17 35
## 253 35 48 36
## 254 21 21 36
## 255 35 39 36
## 256 9 14 37
## 257 21 26 37
## 258 13 16 37
## 259 13 16 37
## 260 12 13 37
## 261 14 14 37
## 262 15 17 37
## 263 13 15 38
## 264 7 10 38
## 265 12 16 39
## 266 11 14 39
## 267 8 12 39
## 268 24 39 39
## 269 15 35 39
## 270 31 45 39
## 271 36 45 39
## 272 14 14 41
## 273 13 14 41
## 274 12 12 41
## 275 13 15 41
## 276 21 23 42
## 277 49 57 42
## 278 44 50 42
## 279 18 23 43
## 280 20 23 43
## 281 27 28 43
## 282 27 42 44
## 283 49 57 44
## 284 31 38 45
## 285 19 22 45
## 286 27 43 45
## 287 12 13 46
## 288 13 15 46
## 289 16 20 48
## 290 17 23 48
## 291 24 32 49
## 292 14 21 49
## 293 23 24 49
## 294 19 21 49
## 295 18 28 49
## 296 23 29 49
## 297 81 89 50
## 298 74 82 50
## 299 102 122 50
## 300 94 131 50
## 301 89 114 50
## 302 133 149 50
## 303 22 23 50
## 304 78 98 50
## 305 22 27 50
## 306 27 30 50
## 307 27 30 50
## 308 60 69 50
## 309 10 10 51
## 310 10 11 51
## 311 10 14 51
## 312 7 11 51
## 313 14 14 51
## 314 36 41 52
## 315 72 88 52
## 316 63 78 52
## 317 109 157 53
## 318 54 68 53
## 319 51 67 53
## 320 61 80 53
## 321 102 137 53
## 322 58 69 53
## 323 46 80 54
## 324 53 90 54
## 325 19 34 54
## 326 41 73 54
## 327 25 44 54
## 328 16 20 55
## 329 20 35 55
## 330 69 168 56
## 331 98 247 56
## 332 20 22 56
## 333 72 103 56
## 334 51 82 57
## 335 18 35 58
## 336 26 34 58
## 337 28 37 58
## 338 13 14 58
## 339 174 266 58
## 340 171 254 58
## 341 10 13 58
## 342 166 282 58
## 343 17 17 58
## 344 22 42 59
## 345 9 16 60
## 346 14 19 60
## 347 70 98 63
## 348 49 65 64
## 349 32 63 64
## 350 35 43 65
## 351 59 80 65
## 352 45 52 65
## 353 34 48 65
## 354 50 66 65
## 355 67 100 65
## 356 8 16 66
## 357 18 22 66
## 358 5 11 66
## 359 5 10 66
## 360 16 16 66
## 361 9 10 67
## 362 7 10 68
## 363 10 16 68
## 364 15 28 70
## 365 18 30 70
## 366 11 15 70
## 367 10 13 70
## 368 17 18 70
## 369 22 26 70
## 370 18 30 70
## 371 14 14 70
## 372 20 22 71
## 373 21 25 71
## 374 23 26 71
## 375 19 22 71
## 376 20 26 71
## 377 17 20 71
## 378 18 22 71
## 379 20 21 71
## 380 19 21 71
## 381 46 65 72
## 382 39 62 72
## 383 34 67 72
## 384 29 40 72
## 385 27 45 72
## 386 372 579 73
## 387 343 537 73
## 388 380 581 73
## 389 322 527 73
## 390 66 84 74
## 391 40 79 74
## 392 60 92 74
## 393 38 67 75
## 394 93 190 76
## 395 36 60 77
## 396 29 64 77
## 397 23 31 77
## 398 36 62 77
## 399 30 37 77
## 400 8 13 78
## 401 12 15 78
## 402 65 79 78
## 403 53 98 79
## 404 58 97 79
## 405 67 78 80
## 406 36 56 80
## 407 17 20 80
## 408 17 20 81
## 409 13 19 81
## 410 19 26 81
## 411 12 18 82
## 412 12 12 82
## 413 16 19 82
## 414 12 16 82
## 415 14 16 82
## 416 11 12 82
## 417 15 17 82
## 418 6 15 82
## 419 15 16 82
## 420 12 17 82
## 421 15 17 83
## 422 10 10 83
## 423 16 17 83
## 424 15 17 83
## 425 15 16 84
## 426 21 26 84
## 427 14 18 84
## 428 16 20 84
## 429 21 21 85
## 430 18 21 85
## 431 17 20 85
## 432 19 20 85
## 433 11 13 85
## 434 14 16 85
## 435 16 17 85
## 436 22 24 86
## 437 17 20 86
## 438 67 155 87
## 439 28 70 88
## 440 61 149 88
## 441 49 137 88
## 442 13 29 88
## 443 28 55 88
## 444 67 136 88
## 445 20 60 89
## 446 43 108 89
## 447 13 15 90
## 448 14 17 91
## 449 19 19 91
## 450 18 19 92
## 451 11 13 92
## 452 18 19 92
## 453 11 22 92
## 454 7 20 92
## 455 24 27 92
## 456 111 127 93
## 457 62 85 93
## 458 76 101 93
## 459 9 21 93
## 460 52 86 93
## 461 52 67 94
## 462 54 66 94
## 463 28 35 94
#1 Data Exploration
## X minority age gender
## Min. : 1.0 Length:463 Min. :29.00 Length:463
## 1st Qu.:116.5 Class :character 1st Qu.:42.00 Class :character
## Median :232.0 Mode :character Median :48.00 Mode :character
## Mean :232.0 Mean :48.37
## 3rd Qu.:347.5 3rd Qu.:57.00
## Max. :463.0 Max. :73.00
## credits beauty eval division
## Length:463 Min. :-1.4504940 Min. :2.100 Length:463
## Class :character 1st Qu.:-0.6562689 1st Qu.:3.600 Class :character
## Mode :character Median :-0.0680143 Median :4.000 Mode :character
## Mean : 0.0000001 Mean :3.998
## 3rd Qu.: 0.5456024 3rd Qu.:4.400
## Max. : 1.9700230 Max. :5.000
## native tenure students allstudents
## Length:463 Length:463 Min. : 5.00 Min. : 8.00
## Class :character Class :character 1st Qu.: 15.00 1st Qu.: 19.00
## Mode :character Mode :character Median : 23.00 Median : 29.00
## Mean : 36.62 Mean : 55.18
## 3rd Qu.: 40.00 3rd Qu.: 60.00
## Max. :380.00 Max. :581.00
## prof
## Min. : 1.00
## 1st Qu.:20.00
## Median :44.00
## Mean :45.43
## 3rd Qu.:70.50
## Max. :94.00
Slide with plot
## [1] 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 1 1
## [38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
## [75] 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0
## [149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 0 0
## [223] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1
## [260] 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [297] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [334] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [371] 0 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
## [408] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [445] 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1
## [1] -0.05169619
The correlation between the age and the evaluation of teachers is
very little. let’s find out more about this data:
The beauty (I think this data is taking in consideration the beauty
of the lessons were evaluated), has negative value but not very bad. The
minimum in the evaluation is 2, which I think means “developing”. I also
noticed there is a correlation between whether the teacher is tenured or
not and their evaluation, so I created a new data that has a sample of
those data (tenure and eval) only:
Ordering the tenure data frame by who is not tenured and who is,
gives me a good sight of the data; the teachers who are not tenured yet,
they get good evaluation (minimum of 3.4/5). I replaced the “yes” and
“no” in tenure with “1” and “0” respectively to be able to see the
correlation better. Based on the histogram above, the data were
collected with more tenured teachers.
## [1] 0.07819319
At first glance, I thought that there is a strong correlation between
the age and prof of the teachers. After visualizing the scatter plot and
computing the correlation coefficient, there is no correlation between
both variables.
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 15.0 33.0 51.0 91.8 97.5 961.0
## [1] 0.0126097
conclusion:
I cannot find strong correlation or which component is really
affecting teachers’ evaluation. I am going to compute the correlation
coefficient of the evaluation and different quantitative variables from
the data:
## [1] -0.05169619
## [1] 0.1890391
## [1] 0.03546667
## [1] -0.001229338
## [1] 0.01985966
## [1] 0.0126097
The biggest correlation coefficient among the above is between the
evaluation and the beauty. I am not sure what beauty is meant in this
data; is it the beauty of the lesson plan, the classroom or other. But,
there is a positive correlation between both.
## X..DOCTYPE.html.
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