Can someone help me interpret my analysis with the information provided and explain how and why each variable is ok to keep or get rid of?

D E C A B #of people Pfizer Moderna J&J Postive after the vaccine. 400 1 100 200 300 400 100 200 300 400 100 200 0 400 100 200 0 100 200 400 100 200 400 100 200 400 100 200 400 100 0 400 100 0 0 100 0 0 100 0 0 100 0 0 100 0 100 0 100 0 0 0 0 0 0 12 13 14 15 16 17 18 19 20 21 BANNNNN83852 47398327 22 24 26 27 29 30 311 2 3 4 5 6 32 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 25 26 0 0 0 0 0 0 OOO 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 OOOO 0 0 0 0 0 0 0 0 0 0 0 F SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations DANOVA 1 2 Regression 3 Residual 4 Total 35 16 17 Intercept 18 Pfizer 19 Moderna 20 181 21 Postive after the vaccine. 22 23 Y 24 26 27 20 29 30 33558 32 Regression Statistics H MS F Significance F 52.25 6.40363E-11 1482 370.5 22 156 7.090909091 26 1638 Coefficients Standard Error 1 Stot 22 -0.09 -0.0175 -0.013333333 P-value Lower 95% 0.802887351 27.40110423 Upper 95% Lower 95.0% Upper 95.0% 1.6956E-18 20.33491355 23.66508645 20.33491355 21.66508645 0.01287484-6.990378002 5.135246-07 -0.116700784 -0.061299216 0.116700784 -0.063299216 0.014381175 -1.216868617 0.216547871 -0.047324731 0.012324731 0.047324731 0.012324731 0.007247431-1839732422 0.079340926 -0.028363585 0.001696918 -0.028363585 0.001696918 0.007116836 -1.405118847 0.173949958 -0.024759414 0.004759414 -0.034759414 0.004759414 -0.01 b1x1 B1X2 b1x3 B1X4 0.951189731 0.904761905 0.887445887 2.662876094 27 4 55 90% OC Changed to a number Coefficients 22.00 -0.09 -0.02 -0.01 -0.01 P-value 0.00 0.00 0.24 0.08 0.17