Hello, from this link I got a dataset of diamonds and imported it into excel and I got some results.

https://www.kaggle.com/shivam2503/diamonds

I need help finding the Ho and Ha for comparing the relationship between price and carat of the diamonds in the data set.

In that attached picture, how would you describe the graph? what does r^2 mean? What does the F stat mean?

THANK YOU SO MUCH !

Bivariate Fit of price By carat Linear Fit Source DF Sum of Mean F Ratio 19000 18000 - 17000 price = -2256.361 + 7756.4256*carat 16000 Squares Square 15000 14000 Summary of Fit 13000 12000 Model 1 7.2913e+1 7.291e+11 3040509 11000 10000 price 9000 Error 53938 1.2935e+1 2398044 Prob >F 8000 7000- 6000- RSquare 0.84933 5000 C. 53939 8.5847e+1 <.0001 total rsquare adj carat parameter estimates root mean square linear fit error term estimate std t ratio prob>|t] Mean of Response 3932.8 Error Observations (or Sum 53940 Intercep - 13.05535 -172.8 <.0001 wgts carat>