Trying to run a ANOVA this data but having trouble understanding the results. Can someone break it down in simple terminology?

Column + n * Mean * Std. Dev. . Std. Error + 2019 Helmet 10 17.3 10.499206 3.3201406 2019 No Helmet 10 42.2 30.814138 9.7442861 2017 Helmet 10 20.5 11.316163 3.5784851 2017 No Helmet 10 41.5 27.387142 8.6605748 ANOVA table Source DF SS MS F-Stat P-value Columns 3 5320.675 1773.5583 3.660868 0.0212 Error 36 17440.7 484.46389 Total 39 22761.375 Levene's Test for Homogeneity of Variance Test Statistic DF 1 DF 2 P-value 2.8426404 3 36 0.0513 Tukey HSD results (95% level) 2019 Helmet subtracted from Difference Lower Upper P-value 2019 No Helmet 24.9 -1.610547 51.410547 0.0721 2017 Helmet 3.2 -23.310547 29.710547 0.9879 2017 No Helmet 24.2 -2.310547 50.710547 0.0841 2019 No Helmet subtracted from Difference Lower Upper P-value 2017 Helmet -21.7 -48.210547 4.810547 0.1413 2017 No Helmet -0.7 -27.210547 25.810547 0.9999 2017 Helmet subtracted from Difference Lower Upper P-value 2017 No Helmet 21 -5.510547 47.510547 0.162State 2019 Helmet 2019 No Helm: 2017 Helmet 2017 No Helme Hawaii 14 11 14 Iowa 9 35 14 33 Kansas 13 28 21 32 Kentucky 24 68 31 59 Maine 7 20 9 17 Montana 9 14 9 14 New Mexico 17 32 14 35 Oklahoma 23 42 23 68 South Carolina 35 115 43 100 Wisconsin 31 54 30 43