Can you please help me understand this data analysis output results?

What does the Rsquare mean? Rquare Adjusted?

In the analysis of variance table what does the F value of 6.11 mean?

What about the Lack of Fit results?

THANK YOU !

Bivariate Fit of price By depth 19000 18000 17000 16000 15000 - 14000 13000 12000 11000 10000 price 9000 8000 7000 6000 5000 4000 3000 Lack Of Fit 2000 - Sum of 1000- DF 0 - Source Squares Mean Square F Ratio 42 46 50 54 58 62 66 70 74 78 Lack Of Fit 182 8232732329 45234793 2.8603 depth Pure Error 53756 8.5014e+11 15814850 Prob > F Total Error 53938 8.5838e+11 <.0001 fit max rsq mean summary statistics analysis of variance value lower upper signif. prob sum correlation source df squares square f ratio covariance model count error> F Variable Mean Std Dev C. Total 53939 8.5847e+11 0.0134* depth 61.7494 1.432621 4 Parameter Estimates price 3932.8 3989.44 Term Estimate Std Error t Ratio Prob>|t] Linear Fit Intercept 5763.6677 740.5563 7.78 <.0001 price="5763.6677" depth summary of fit mean rsquare adj std dev root square error response sse observations sum wgts>