Hi, I'm having trouble calculating the strength of R-squared and a regression equation. I'm not sure how to do so. Can you tell me the equations to use and how to determine which numbers to use in said equations? These are my calculated statistics:

Regression Statistics
Multiple R	0.9304952
R Square	0.865821318
Adjusted R Square	0.863025929
Standard Error	64537.12352
Observations	50

ANOVA
	df	SS	MS	F	Significance F
Regression	1	1.29E+12	1.29E+12	309.731938	1.42368E-22
Residual	48	2E+11	4.17E+09
Total	49	1.49E+12

	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	46248.24	19031.07	2.430145	0.018882	7983.721	84512.76	7983.721	84512.76
X Variable 1	132.9439	7.553973	17.5992	1.42E-22	117.7556	148.1322	117.7556	148.1322

And these are my graphs. One contains the line of best fit equation, and one contains the regression equation.

Regression equation graph:

House Prices in 2019 1,000,000 y = 132.94x + 46248 900,000 R