Interpret the value of the Adjusted R2. Is there a large difference between the R2 and the Adjusted R2? If so, what may explain the reasoning for this?

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Regression Statistics Multiple R 0.547685507 R Square 0.299959414 Adjusted R Square 0.270170453 Standard Error 266.7185547 Observations 50 ANOVA df SS Regression 2 Residual F Significance F 0.000229296 MS 1432661.512 716330.7561 10.06948224 47 3343523.008 71138.7874 Total 49 4776184.52 Intercept X Variable 1 Coefficients 355.5256238 Standard Error 203.3515709 0.365110412 0.314568912 X Variable 2 Lower 95% -53.56496988 Upper 95% 764.6162175 Lower 95.0% -53.56496988 Upper 95.0% 764.6162175 t Stat P-value 1.748329862 0.086936591 1.160669088 0.251638037 -0.267720612 0.997941436 -0.267720612 0.997941436 201.5967165 52.46763873 3.842305875 0.000364509 96.04544204 307.147991 96.04544204 307.147991 Regression Statistics Multiple R 0.547685507 R Square 0.299959414 Adjusted R Square 0.270170453 Standard Error 266.7185547 Observations 50 ANOVA df SS Regression 2 Residual F Significance F 0.000229296 MS 1432661.512 716330.7561 10.06948224 47 3343523.008 71138.7874 Total 49 4776184.52 Intercept X Variable 1 Coefficients 355.5256238 Standard Error 203.3515709 0.365110412 0.314568912 X Variable 2 Lower 95% -53.56496988 Upper 95% 764.6162175 Lower 95.0% -53.56496988 Upper 95.0% 764.6162175 t Stat P-value 1.748329862 0.086936591 1.160669088 0.251638037 -0.267720612 0.997941436 -0.267720612 0.997941436 201.5967165 52.46763873 3.842305875 0.000364509 96.04544204 307.147991 96.04544204 307.147991