Use the following data to calculate these answers. table a-6 n a =0. 05 a = 0. 01 w 4 0. 95 0. 99 0. 878 0. 959 6 0. 811 0. 917 7 0. 754 0. 875 8 0. 707 0. 834 0. 666 0. 798 10 0. 632 0. 765 11 0. 602 0. 735 11 12 0. 576 0. 708 12 13 0. 553 0. 684 13 13 0. 553 0. 684 14 14 0. 532 0. 661 15 15 0. 514 0. 641 16 16 0. 497 0. 623 17 17 0. 482 0. 606 18 18 0. 468 0. 59 19 19 0. 456 0. 575 20 20 0. 444 0. 561 21 25 0. 396 0. 505 22 30 0. 361 0. 463 23 35 0. 335 0. 43 24 40 0. 312 0. 402 25 45 0. 294 0. 378 26 50 0. 279 0. 361 27 60 0. 254 0. 33 28 70 0. 236 0. 305 29 80 0. 22 0. 286 30 90 0. 207 0. 269 31 100 0. 196 0. 256 32 33 34 35 find the value of the linear correlation coefficient r, and the p-value and the critical value of r using alpha = 0.05. Determine whether there is sufficient evidence to support the claim of linear correlation between age and salary