3. Load the dataset called ec122a.csv and decide the appropriateregression to run. Write down what transformations, corrections,etc... you make and why.
y1 | x1 |
5.3478787576716 | -0.930542577578737 |
-69.4411002445282 | -14.3360876802962 |
17.6647698924475 | 1.81741420842464 |
98.6511466667161 | 16.8769469917607 |
14.7965900933862 | 1.44147861051093 |
-34.5302655286703 | -8.00737844994315 |
93.0899709372717 | 15.9601981407006 |
9.21693205816442 | 0.677367144474178 |
82.6007511115692 | 13.940352476942 |
115.798113882096 | 21.2544523041556 |
210.387049747658 | 38.2407928740359 |
25.53810654411 | 2.87106608048978 |
103.832140647001 | 18.1287219709914 |
69.9887102526973 | 11.9894172917371 |
115.53192498448 | 20.8016798770016 |
121.344292025264 | 22.0189019228638 |
92.7341812552436 | 15.9508245127554 |
141.336831165046 | 25.3838968113616 |
43.9676084746945 | 6.62783843142594 |
170.312498248916 | 30.6056891002234 |
100.141722965535 | 18.0744156617512 |
135.127526516403 | 25.1557427275658 |
35.4910615569294 | 5.34067840867235 |
49.0886162426323 | 7.66630180243485 |
183.23305880313 | 33.6747888141339 |
133.899669788226 | 31.0484776835843 |
119.472386558899 | 19.6774321421239 |
158.382012262513 | 38.7948124929967 |
158.265751170527 | 32.3449530783571 |
143.893438668698 | 31.318399069747 |
209.554152576129 | 39.0470592670422 |
269.696741210151 | 47.0260908373683 |
214.277835307116 | 39.4621037661542 |
137.448728114245 | 32.1951502465506 |
207.142331867495 | 30.4353133960267 |
195.530279391204 | 37.8895119687649 |
260.613365801387 | 47.5777648932458 |
193.358564414283 | 32.544387671943 |
214.355032319599 | 35.3968738633248 |
236.246295426679 | 46.8573949752216 |
179.510295035057 | 40.1659721878024 |
212.202997184581 | 42.9660084481672 |
207.263001917022 | 38.3563234239438 |
189.537080855405 | 36.9994190965688 |
293.77520107103 | 52.1838828310905 |
275.816868619373 | 46.9729303988204 |
213.777730095761 | 51.623410535034 |
234.515710668196 | 54.7713564277226 |
305.755164538293 | 58.2281799071355 |
247.574028943277 | 48.2612135595578 |
216.487201880791 | 44.4805702248886 |
298.939398951728 | 59.5098240982159 |
294.087515977881 | 59.7323992058337 |
242.47071086964 | 56.2423387201774 |
314.216664214321 | 52.099463290858 |
198.64183568504 | 45.5524703388986 |
451.501739075897 | 71.7371279051027 |
334.639764748968 | 56.3003387632005 |
325.539711644784 | 61.3753202076771 |
334.360999254428 | 65.6509595487347 |
375.501692057963 | 69.0188962996762 |
279.92394271145 | 50.820033316856 |
391.747159079897 | 84.4387655124175 |
256.755426083081 | 61.8425207887276 |
335.348364682454 | 78.2972291401232 |
326.862654481865 | 67.2701863797509 |
409.199061682728 | 67.0226394402898 |
315.278602307445 | 62.6960929012151 |
389.115799067651 | 67.3988546408951 |
324.558498258645 | 74.4613819502999 |
277.860262868103 | 51.1152020598209 |
348.220952805656 | 73.4318499899927 |
394.101591698092 | 69.6828387504708 |
378.574744964529 | 70.3390300051774 |
345.129291309579 | 65.1443486887627 |
431.388383747861 | 86.5385881418601 |
461.246340384882 | 80.7778216315798 |
393.128587286873 | 79.4875434916298 |
457.413617158369 | 93.3535591485397 |
490.030080973679 | 86.1469790728216 |
445.013611790392 | 88.2858459293727 |
502.433226880918 | 90.1840214865989 |
531.919402102633 | 84.5845337879384 |
459.430685958911 | 101.584476353668 |
524.534588061157 | 93.7218122436017 |
384.831820262549 | 88.3997031202485 |
369.255646051443 | 64.059370789963 |
460.011550161416 | 94.6172825629485 |
581.849448405881 | 100.291462036955 |
487.238487436963 | 86.277129080676 |
554.389543790077 | 106.054358170647 |
476.138213629779 | 77.2218509347784 |
360.434234419891 | 84.2953663204438 |
497.064285198229 | 98.5692172324988 |
559.620017287958 | 104.394884303588 |
570.274724422607 | 113.867023345632 |
526.006391282654 | 110.550311578395 |
668.85329391523 | 118.103935026271 |
567.23894595309 | 105.330310697067 |
551.525236136496 | 104.258750461435 |
