USING R STUDIO PLS ANSWER AND READ IT CAREFULLY

CAN YOU SEE IT NOW IF NOT CAN YOU PLS ZOOM IT IN???

E B c D 1 HWAve Tests FinalExam Attendance 2 80.49269 72.25 72.5 76.19 3 3 92.11156 94.75 87.5 80 4 72.90838 50.5 77.5 70 5 99.36461 100 85 95.24 6 90.46865 53 57.5 95 7 88.63458 99.25 80 85 8 58.754 82.25 52.5 90.48 9 9 96.29032 75.925 72.5 100 10 23.73424 48.5 75 11 82.00017 65.675 37.5 85 12 26.89382 80.5 62.5 71.43 13 97.71811 91 80 100 14 85.55928 80 40 95.24 15 19.35484 38 38.1 16 81.13052 61.25 57.5 76.19 17 94.82544 87.5 65 100 18 54.87133 64.25 55 90.48 19 78.20373 85.25 80 61.9 20 74.4009 86.075 72.5 75 21 73.66021 95.75 87.5 100 22 5.241935 32.675 90 23 58.59866 87 70 71.43 24 90.28186 92.5 90 90 25 36.27285 32.75 27.5 57.14 26 55.23827 40.25 75 27 75.25401 36.5 30 76.19 28 91.31555 79.675 65 100 29 40.78495 81.825 72.5 80 30 70.90586 69.075 42.5 94.74 31 85.92681 63 37.5 90 32 94.41569 78.25 65 100 33 84.28222 81.25 77.5 76.19 34 71.12627 74.575 65 95 35 91.56314 83.575 77.5 95 36 78.29741 76 72.5 76.19 37 89.28454 80.5 85 80 38 24.75318 42.75 45 80.95 39 86.05104 77.25 45 95.24 40 57.51573 99.75 97.5 100 41 88.36653 82.25 65 85.71 42 94.67339 77.575 67.5 95 43 88.96062 64.75 57.5 95 44 88.09288 94.75 85 85.71 45 99.02456 93.75 85 100 46 87.46792 66.5 60 95.24 47 91.49633 71.5 87.5 100 48 43.28606 50.675 40 50 49 1.209677 29.75 50 50 65.17845 78.25 52.5 100 51 80.79472 76 72.5 85.71 52 82.32497 59.5 40 85 53 99.91532 95.075 65 90 54 68.97406 77.5 71.43 55 82.17742 95.075 85 100 56 84.47076 73.175 45 75 Carat Colour Clarity Cert Price 0.3 D VS2 GIA 1302 0.3 E VS1 GIA 1510 0.3 G G WS1 GIA 1510 0.3 G VS1 GIA 1260 0.31 D VS1 GIA 1641 0.31 E VS1 GIA 1555 0.31 F VS1 GIA 1427 GI 1427 0.31 G WS2 0.31 H VS2 GIA 1126 0.31 1 VS1 GIA 1126 0.32 F VS1 GIA 1468 0.32 G VS2 0.33 E VS2 0.33 1 VS2 GIA 1202 GIA 1327 GIA 1098 GIA 1693 GIA 1551 0.34 E VS1 0.34 F VS1 0.34 G VS1 GIA 1410 0.34 G VS2 GIA 1269 0.34 H VS1 GIA 1316 0.34 H VS2 GIA 1222 0.35 E VS1 GIA 1738 0.35 F VS1 GIA 1593 0.35 G VS1 GIA 1447 0.35 H VS2 GIA 1255 0.36 F VS1 GIA 1635 0.36 H WS2 GIA 1485 0.37 F VS2 GIA 1420 0.37 H VS1 GIA 1420 0.4 F VS1 GIA 1911 0.4 H VS1 GIA 1525 0.41 F VS1 GIA 1956 0.43 H WS2 GIA 1747 0.45 1 VS1 GIA 1572 WS2 GIA 2942 0.46 E 0.48 G WS2 GIA 2532 0.5 E VS1 GIA 3501 0.5 E VS1 GIA 3501 0.5 F WS2 GIA 3501 0.5 F VS1 GIA 3293 VS1 GIA 3016 0.5 G G 0.51 F WS2 GIA 3567 GIA 3205 0.51 G VS1 0.52 D VS2 GIA 3490 0.52 E VS1 GIA 3635 0.52 F WS2 GIA 3635 0.52 E VS1 GIA 3635 WS2 GIA 3635 0.52 F 0.52 F VS1 GIA 3418 0.53 D VS1 GIA 3921 0.53 F WS2 GIA 3701 VS1 0.53 F 0.53 G 0.54 E WS2 GIA 3480 GI 3407 GIA 3767 GIA 4066 VS1 0.54 F WS1 0.55 E WS2 GIA 4138 0.55 F VS1 GIA 3605 0.55 G WS2 GIA 3529 0.56 F VS1 WS2 0.561 0.57 G GIA 3667 GIA 2892 GIA 3651 GIA 3773 WS2 0.59 G WS2 0.6 F VS1 GIA 4291 0.62 E WS1 GIA 5845 0.63 G WS2 GIA 4401 0.64 G WS1 GIA 4759 0.66 H WS1 GIA 4300 VS1 0.7 F 0.7 G G VS1 GIA 5510 GIA 5122 GIA 5122 GIA 3861 0.7 H WS2 0.7 1 VS2 0.71 F WS2 GIA 5881 0.71 F F VS1 GI 5586 0.71 F VS2 GIA 5193 0.71 H WS2 GIA 5193 VS2 GIA 5263 0.72 F 0.81 0.821 WS2 GIA 5441 VS2 GIA 4948 0.84 H VS2 GIA 5705 GIA 6805 0.85 F VS2 0.86 H WS2 GIA 6882 0.89 H VS1 GIA 6709 0.91 WS2 GIA 6682 0.5 E VS1 GIA 3501 WS1 GIA 3432 0.5 G G 0.51 F WS1 GIA 3851 0.55 H IF GIA 3605 0.56 E VS1 GIA 3900 0.57 H WS1 GIA 3415 0.6 H IF GIA 4291 0.63 E IF GIA 6512 0.7 E VS1 GIA 5800 1.01 H VS1 GIA 9153 1.01 H VS2 GIA 8873 1.01 1 WS1 1.01 1 WS2 1.01 1 1 VS2 1.02 F VS1 GIA 8873 GI 8455 GIA 7895 GIA 10372 GIA 9666 GIA 10090 GI 10900 VS2 1.02 F 1.02 G WS2 1.03 E VS1 1.04 F VS1 GIA 10571 1.04 1 IF GIA 9563 1.05 1 WS2 GIA 8781 1.06 G VS2 GIA 9743 1.06 H VS2 GIA 9302 GIA 8945 1.07 1 WS2 1.1 H VS2 GIA 9646 0.18 F WVS1 IGI 823 0.18 F WS2 IGI 765 0.18 G IF IGI 803 0.18 G IF IGI 803 705 0.18 G WS2 IGI 0.18 H IF IGI 725 0.19 D WS2 IGI 967 0.19 E IF IGI 1050 0.19 F IF IGI 967 0.19 F WS1 IGI 863 0.19 F WS2 IGI 800 0.19 G IF IGI 842 0.19 G VVS1 IGI 800 0.19 H H IF IGI 758 VS1 IGI 880 0.2 D 0.2 G G IF IGI 880 0.2 G VS1 IGI 705 0.2 G VS2 IGI 638 0.21 D VS1 IGI 919 0.21 E IF IGI 1149 0.21 F IF IGI 1057 0.21 G IF IGI 919 0.22 E IF IGI 1198 0.23 E IF IGI 1248 0.23 F IF IGI 1147 0.23 G IF IGI 995 0.24 H IF IGI 1108 0.25 F IF IGI 1485 0.25 G IF IGI 1283 0.25 H IF IGI 1149 0.25 1 IF IGI 1082 0.26 F IF IGI 1539 0.26 F WS1 IGI 1365 0.26 F WS2 IGI 1260 0.26 IF IGI 1121 0.27 F IF IGI 1595 0.27 H IF IGI 1233 0.28 1 IF IGI 1199 0.29 G IF IGI 1471 0.29 1 IF IGI 1238 0.3 E WS2 IGI 1580 0.3 F WS2 IGI 1459 0.3 G WS1 1459 0.3 H WS2 IGI IGI IGI 1218 0.3 1 IF 1299 0.31 E WS2 IGI 1628 0.31 F WVS1 IGI 1628 0.31 1 IF IGI 1337 0.32 H IF IGI 1462 0.33 H IF IGI 1503 0.34 F WVS1 IGI 1773 0.34 F WS2 IGI 1636 0.35 F WS1 IGI 1821 0.35 G WS2 IGI 1540 0.4 G IF IGI 2276 0.41 1 WVS1 IGI 1616 0.41 1 WS2 IGI 1506 0.47 F WS2 IGI 2651 0.48 F VS1 IGI 2383 0.5 G IF IGI 3652 0.51 E WS2 IGI 3722 0.51 F WS1 IGI 3722 0.52 IF IGI 3095 0.55 F WS2 IGI 3706 0.56 E WS2 IGI 4070 0.56 G WS2 IGI 3470 0.58 E WS1 IGI 4831 0.58 F WS1 IGI 4209 0.58 G 0.7 G 0.7 G 0.71 D WVS1 IGI 3821 VVS1 IGI 5607 WS2 IGI 5326 VS1 IGI 6160 WS2 IGI 6095 WS2 IGI 5937 WS2 IGI 9342 0.76 F 0.78 G 1 H 1.01 G VS1 IGI 9713 1.01 H VS2 IGI 8873 1.01 1 IGI 8175 VS1 WS1 0.5 F HRD 3778 WS1 HRD 3432 0.5 G 0.51 F 0.52 E WS1 HRD 3851 VS2 HRD 3346 0.52 H WS1 HRD 3130 HRD 3995 0.53 F WS1 0.53 F WS2 HRD 3701 0.55 G WS2 HRD 3529 0.56 F VS1 HRD 3667 0.56 F VS2 HRD 3202 0.57 F VS2 HRD 3256 0.57 H WS1 HRD 3415 0.58 H IF HRD 3792 0.6 G VS1 HRD 3925 0.6 G VS2 HRD 3421 0.6 H VVS1 HRD 3925 0.61 H WS2 HRD 3616 0.62 WS2 HRD 3615 0.64 H VVS2 HRD 3785 0.65 1 WS2 HRD 3643 0.66 H WS1 HRD 4300 WS1 0.7 E 0.7 E WS2 HRD 6867 HRD 6285 HRD 5800 WVS1 0.7 G 0.7 G WS2 HRD 5510 0.7 H VS2 HRD 4346 0.71 G IF HRD 6372 0.71 H VVS2 HRD 5193 0.72 H WS1 HRD 5662 0.73 F VS2 HRD 5333 WS1 HRD 6041 0.73 G 0.74 H VVS1 HRD 5815 0.8 F IF HRD 8611 0.8 F VS1 HRD 6905 HRD 6905 0.8 G WS2 0.8 H WS2 HRD 6416 0.8 H VS1 HRD 6051 0.81 E WS1 HRD 8715 0.81 E VS2 HRD 6988 0.81 F VS1 HRD 6988 0.81 G VS1 HRD 6495 0.81 H IF HRD 7358 0.82 F VS2 HRD 6572 0.82 G WS2 HRD 7072 0.82 G WS2 HRD 7072 0.85 F VVS1 HRD 8359 0.85 F VS2 HRD 6805 HRD 7711 0.85 G WS1 0.86 H VS2 HRD 5835 1 D WS2 HRD 13775 1 E WS1 HRD 14051 1 E WS2 HRD 11419 1 E VS1 HRD 10588 1 F WS1 HRD 11696 1 F WS2 1 G WS1 WS2 HRD 10588 HRD 10450 HRD 9896 1 G 1 G VS2 HRD 9203 1 H WS1 HRD 9480 1 H VS1 HRD 9065 1 H VS2 HRD 8788 HRD 8788 11 WVS1 11 WS2 HRD 8372 11 VS1 HRD 8095 VS2 HRD 7818 11 1.01 D WS2 HRD 13909 1.01 E WS2 HRD 11531 1.01 E VS1 HRD 10692 1.01 F WS1 HRD 11811 1.01 F VS1 HRD 10272 1.01 G WS2 HRD 9993 1.01 G VS2 HRD 9293 1.01 H WS2 HRD 9433 1.01 H VS1 HRD 9153 1.01 1 WVS1 HRD 8873 1.01 1 VS1 HRD 8175 1.02 F HRD 10796 WS2 WS2 1.06 H HRD 9890 1.02 H VS2 HRD 8959 HRD 9107 1.091 WS2 We will focus on data that has a linear relationship, and leave data that has a curve to it, like the carat/price data, for another class. 4. Load the file gradesdata.csv. (Note: These grades are not from any one class, I combined classes and changed numbers to protect privacy.) Create the following graphs. ggplet(gradesdata, ges(x=HWAxe, y=Final Exam))+ geomkrinto ggrlot gradesdata ses(x=Attendance, y=FinalExam))+ geomkrinto ggplet(gradesdata, ges(x=Tests, y=Final Exam)) + geom.nginto Based on these graphs, which variable, HwAve. Attendance, or Tests, is the best predictor of the Final Exam grade? These graphs show weak relationships. But since there is no obvious curving behavior, we will model them as linear relationships. 5. Let's look at what a graph would look like if there was no relationship. norml