Solve clearly

Table 3A . regress mpg cyl eng wgt Source SS df MS Number of obs F 392 F (3, 388) - 300.76 Model Residual | 7162. 54906 Total | 23818. 9931 391 60.918141 mpg Coef. Std. Err. t [958 Conf. Interval] cyl -. 2677968 . 4130673 -0. 65 0. 517 -1. 079927 . 5443336 eng -. 012674 0082501 -1. 54 0 .125 -- 0288944 . 0035465 wat -. 0057079 . 0007139 -8.00 10.000 -- 0071115 -. 0043043 cons 44. 37096 1. 480685 29.97 10 .000 41. 45979 47.28213 Table 3B regress mpg cyl eng wat mhat2 mhat3 Source SS df MS Number of obs 392 F (5, 386) 203.82 Model 17275. 5586 5 3455:11172 Residual 6543. 43454 386 16.951903 Total | 23818 . 9931 391 60.918141 mpg Coef. Sed. Err. t 195% Conf. Interval] cyl' . 0029675 7348718 10.00 0.997 -1. 441885 1 . 44782 eng -. 0124406 . 0177434 -0. 70 0 . 484 -. 0473264 0224452 Wat -. 0018694 . 0076563 -0.24 0.807 -. 0169226 0131839 mhatz -. 0111003 . 0684561 -0.16 0.871 -.1456937 1234932 mhat3 . 000703 . 0010726 0.66 0. 513. -.0014058 20118 cons. 26.93125 52. 94717 0. 51 0. 611 -77.1697 131.0322Question 17 1 pts Refer to tables 3A and 3B. After obtaining the results presented in table 3A, I saved the fitted values, created their squares and cubes. and included those in a new regression along with the original regressors. The results are presented in table 3B. For the RESET test, my rejection region is... values less than 3.00 values greater than 3.00 values greater than 2.21 values less than 19.50