Pl A B c 0 E _ G 1 age sex bmi children Smoke! region chimes 2 12 female 27.9 0 yes southwest 16684924 3 15 male 33.77 1 no southeast 1725.5523 4 25 male 33 3 no southeast 4449.462 5 33 male 22.705 0 no northwest 2198447061 6 32 male 28.88 0 no northwest SEE-6.8552 7 31 female 25.74 0 no southeast 3756.6216 g 46 female 33.44 1 no southeast 82405696 9 37 female 27.74 3 no northwest 72515056 10 37 male 22.63 2 no northeast 64064107 11 60 female 25.64 0 no northwest 28923.13692 12 25 male 26.22 0 no northeast 27213206 13 62 female 26.29 0 Yes southeast 27505.7251 14 7.3 male 34.4 0 no southwest 1626.643 15 56 female 32.62 0 no southeast 11020.7176 16 27 male 42.13 0 yes southeast 39611.7577 17 19 male 24.6 1 no southwest 1537.237 13 52 female 30.78 1 no northeast 10727.3362 19 23 male 23.545 0 no northeast 2395.17155 20 56 male 40.3 0 no southwest 10602.355 21 30 male 35.3 0 yes southwest 36637.467 22 60 female 36.005 0 no northeast 13225334695 Z} 30 female 32.4 1 no southwest 4149.736 24 18 male 34.1 0 no southeast 1137.011 25 34 female 31.92 1 yes northeast 37701.8768 26 37 male 25.025 2 no northwest 620330175 27 52 female 27.72 3 no southeast 14001.1336 Z! 63 female 23.085 0 no northeast 14451.83515 29 55 female 32.775 2 no northwest 12265.63225 3] 23 male 17.385 1 no northwest 2775.19215 31 31 male 36.3 2 yes southwest 38711 32 22 male 35.6 0 yes southwest 35555.576 33 15 fefTIale 26.315 0 no northeast 2195.18955 34 12 female 28.6 5 no southwest 4687.797 33 63 male 28.31 0 no northwest 13770.0979 36 25 male 36.4 1 Yes southwest 51194.55914 37 12 male 20.425 0 no northwest 1625.43375 39 62 female 32.965 3 no northwest 15612.19335 39 26 male 20.8 0 no southwest 2302.3 40 35 male 36.67 1 yes northeast 397742763 41 60 male 39.2 0 yes southwest 48173361 42 24 female 26.6 0 no northeast 3046.062 43 31 female 36.63 2 no southeast 4242.75I7 44 41 male 21.78 1 no southeast 6272.4772 45 37 female 30.8 2 no southeast 6313.759 45 :18 male 37.05 1 no northeast 6079.6715 47 55 male 37.3 0 no southwest 2063028351 43 15 female 3I.665 2 no northeast 339335635 49 25 female 34.77 0 no northwest 3556.9223 a] 60 female 24.53 0 no southeast 12629.8967 51 36 male 35.2 1 yes southeast 38702.176 52 15 female 35.625 0 no northeast 2211.].9075 53 21 fefTIale 33.63 2 no northwest 3579.8257 54 48 male 28 1 yes southwest 23566272 53 36 male 34.43 0 yes southeast 37742.5757 56 40 female 28.69 3 no northwest 8059.6791 9 58 male 36.255 2 yes northwest 47426.42445 53 55 female 31.525 2 no northeast 1360736875 59 15 male 31.68 2 Yes southeast 34303.1672 en 53 female 22.68 1 yes southeast 23244.7202 61 34 female 37.335 2 no northwest 595952365 52 43 male 27.36 3 no northeast 8606.2174 7.5 male 33.66 4 no southeast 4504.6624 54 64 male 24.7 1 no northwest 3016661617 E; 25 female 25.935 1 no northwest 4133.64165 55 7.0 female 22.42 0 Yes northwest 1471151436 57 12 female 28.2 0 no southwest 1743.214 61 female 39.1 2 no southwest 14235.072 59 40 male 26.315 1 no northwest 6359.37755 70 40 female 36.19 0 no southeast 5220.1041 71 25 male 23.98 3 yes southeast 17663.1442 72 27 female 24.75 0 yes southeast 165717725 73 31 male 28.5 5 no northeast 6799.458 74 53 female 28.1 3 no southwest 11741.726 75 58 male 32.01 1 no southeast 112466252 76 44 male 27.4 2 no southwest 7726.654 77 57 male 34.01 0 no northwest 11356.6609 73 22 female 22.52 1 no southeast 3247.4131 7g 21 male 35.53 0 no southeast 1532.4697 a] 22 female 39.505 0 no northeast 275502095 31 41 female 32.265 0 no northwest 657102435 82 31 male 26.585 1 no northeast 4441.21315 89 45 female 35.285 0 no northeast 7935.29115 34 72 male 37.62 1 yes southeast 371651636 35 48 female 41.23 4 no northwest 110336617 86 37 female 34.I 2 yes southwest 39836.519 57 45 male 22.595 2 yes northwest 2109855405 33 57 female 31.16 0 yes northwest 435782324 89 56 female 27.2 0 no southwest 11073.176 g] 46 female 27.74 0 no northwest 5026.6666 91 55 female 26.9I 0 no northwest 110625772 92 21 female 39.49 0 no southeast 2026.9741 93 53 female 24.795 1 no northwest 10942.13205 g4 52 male 22.63 3 yes northeast 301649367 % 35 male 34.77 2 no northwest 5729.0053 96 64 female 31.3 2 yes southwest 47291.055 g7 28 female 37.52 1 no southeast 37668836 98 54 female 30.. 3 no southwest 12105.32 99 55 male 38.25 0 no southeast 102262542 1m 56 male 19.95 0 yes northeast 224126485 101 38 male 12.3 0 yes southwest 15620622 102 41 female 31.6 0 no southwest 6186.127 103 30 male 25.46 0 no northeast 36450624 104 18 female 30.115 0 no northeast 213448467 1% 61 female 29.92 3 yes southeast 30942.1918 106 34 female 27.5 1 no southwest 5003.653 107 20 male 1 yes northwest 1756037275 Ill: 19 female 28.4 1 no southwest 2331.519 109 26 male 30.575 2 no northwest 3577.30425 1.10 22 male 27.24 0 no southeast 2867.1126 1_'|_1 63 male 35.09 0 yes southeast 47055.5321 112 54 male 33.63 1 no northwest 105252537 1.13 55 female 29.7 2 no southwest 11681356 114 37 male 30.! 0 no southwest 4646.752 115 21 female 35.72 0 no northwest 2404.7338 us 52 male 32.205 3 no northeast 1148631695 117 60 male 28.595 0 no northeast 3025232556 1.1.8 55 male 49.06 0 no southeast 11381.3254 119 29 female 27.94 1 Yes southeast 191017796 120 42 female 27.17 0 no southeast 86013223 121 37 female 23.37 2 no northwest 6686.4313 122 44 male 37.1 2 no southwest 7740.337 m 18 male 23.75 0 no northeast 17056245 124 20 female 28.975 0 no northwest 2257.47525 1% 44 male 31.35 1 yes northeast 39556.4945 125 47 female 33.215 3 no northwest 1011500685 127 26 female 28.755 0 no northeast 3355.39915 129 19 female 25.3 0 yes southwest 17051.05 129 52 female 37.4 0 no southwest 2634.536 13) 32 female 17.765 2 yes northwest 32734.1863 The data file Insurance contains medical information and costs billed by health insurance companies. It contains 128 rows of data and the following columns: age, gender, BMI, children, smoker, region, insurance charges. We want to investigate how insurance costs (DV) are impacted by BMI. a) Identify your Independent variable and your dependent variable. b) Calculate and interpret the r2 c) Write the regression equation. d) Using the Significance of F from your output determine if the model is statistically significant