x y 56. 1849011143672 943. 969674041229 64 . 1506878732583 1000. 47558001509 56. 161364956165 901 .596812402055 25 .5928053418234 1055 . 41992065146 51 . 1290969113663 923. 809002623309 36 . 9524465188427 879 . 808374683292 51 . 2090408241569 803. 703204591687 78. 1615248428741 854. 672286828961 16 . 9998416214335 925 . 122038249344 75 . 1535740049024 858 . 090873356225 24 . 801979109722 895. 530974257285 30. 3876357753644 1013. 9676797885 69 . 8326367319302 883. 063102016308 16 . 5929919412267 927.645784463128 84. 9163023103808 814.569424981026 58 . 3705016925152 831. 487087581704 55 . 4215275693315 1078. 36635754037 55 . 8158329153472 943. 940207883983 74 . 797311335765 639 .545690391107 92 . 491368579185 794. 148096275552 79 . 7205366271925 717. 738481441503 54. 0735554981555 818 . 052218848214 25 . 6442092697707 985 . 237370388419 43 . 704445862777 896. 448704409173 76. 8848379152888 809 . 329431682585 65 . 6724432384336 809 . 34962329774 40 . 7875126775062 979 . 224631298056 37. 2123417692922 903. 774582336936 102 . 484540753178 1011 . 31353316366 14 . 4841250386032 788 . 130278129214 24. 1193377823916 830.244798634745 61 . 6749534486014 966 . 465498548724 58 . 6465055311874 878. 265038039133 48 . 5262318619122 942 . 394306346132 37 . 6233455463753 986. 130711403465 54 . 8556236064774 884 . 040385773202 46. 1785908573591 756. 881885627676 56. 3985920868098 882. 827021039806 32 . 1981164012445 863 .094224117266 79 . 877905500073 880 . 952030815311 63. 3744623575006 960 . 693238859104 40 . 0653459951806 1021 . 41463866466 74 . 8325929977092 835 . 640598466971 62 . 3910737096706 798 . 392035279932 63 . 3538883565998 1096 . 39274996473 43 . 4942987007385 890 . 749815978485 31. 1380326335749 934. 087557441466 71 . 5661368363749 751. 731854105538 65 . 4959891262279 973. 662745892727 52. 9101101009933 1068. 07210376183 Q2: For Dataset 2, use appropriate R functions, including Im, to provide the requested information. a) Present an ANOVA output based on the linear model from R. Use a 10 point, fixed width font (preferably Consolas or Courier New). b) Place here the coefficient of determination, RE, for the dataset. c) Determine and place here the correlation coefficient, r. d) Determine and place here a 95% confidence interval for r. e) Paste all R code used to generate the above here. Use an 8pt fixed width font (ideally Courier New or Consolas)