#Read in the data set that contains 28 observations and a response variable y with nine predictors x1, x2, . . . ,x9

#a) use the olsrr package to perform Best Subset Regression for each k from 1 to 9

#Use aic as the model selection criterion for the following stepwise regressions

#b) perform forward stepwise regression using the option 'details=TRUE'

#c) perform backward stepwise regression using the option 'details=TRUE'

#d) perform sequential (both directions) stepwise regression using the option 'details=TRUE'

There is no need to plot the results.

A1 @ fx y A B C D E F G H K V x1 x2 x3 x4 x5 X6 X7 X8 x9 LO 2113 1985 38. 9 64. 7 4 368 59. 7 2205 11 2003 1917 2855 38. 8 61. 3 3 615 55 2096 11 2957 1575 1737 40. 1 60 14 914 65. 6 13 1847 2285 2175 2905 41. 6 45. 3 -4 957 61. 4 1903 10 2476 2971 1666 39. 2 53. 8 15 336 66. 1 11 2309 1457 1866 2927 39. 7 74. 1 8 786 61 W N J OL O V O UI A W N 10 1848 2339 2528 2341 38. 1 65. 4 12 754 66. 1 1564 11 2147 2092 2737 37 78. 3 -1 761 58 1821 1689 1909 1414 42. 1 47. 6 -3 714 57 2577 2566 2001 1838 42. 3 54. 2 -1 797 58. 9 2363 2476 2254 1480 37. 3 48 19 984 67. 5 1984 10 2109 2217 2191 39. 5 51. 9 6 700 57. 2 1917 2295 1758 2229 37. 4 53. 6 -5 1037 58. 8 1761 2032 1932 2204 35. 1 71. 4 3 986 58. 6 1709 JOU 2213 2025 2140 38. 8 58. 3 6 819 59. 2 1901 1722 1686 1730 36. 6 52. 6 -19 791 54. 4 2288 1498 1835 2072 35. 3 59. 3 -5 776 49. 6 1873 2072 1914 2929 41. 1 55. 3 10 789 54. 3 2861 2118 2496 2268 38. 2 69. 6 6 582 58. 7 1775 2411 2670 1983 39. 3 78. 3 7 901 51. 7 3 2289 2202 1904 1792 39. 7 38. 1 -9 734 61. 9 2203 1929 1988 1606 39. 7 68. 8 -21 627 52. 7 2592 2080 2324 1492 35. 5 68. 8 -8 722 10 57. 8 2053 2301 2550 2835 35. 3 74. 1 2 683 26 59. 7 1979 2040 2110 2416 38. 7 50 0 576 54. 9 2048 2447 2628 1638 39. 9 57. 1 -8 28 848 65. 3 1786 1416 1776 2649 37. 4 56. 3 29 -22 684 43. 8 2876 2524 1503 1503 39. 3 47 -9 30 875 53. 5 2560 2241 31