SUMMARY OUTPUT
Regression Statistics
Multiple R	0.879962
R Square	0.774333
Adjusted R Square	0.760228
Standard Error	91.8098
Observations	18
ANOVA
	df	SS	MS	F	Significance F
Regression	1	462761.1	462761.1	54.90082	1.47771E-06
Residual	16	134864.6	8429.04
Total	17	597625.8
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%
Intercept	2044.381	226.3543	9.031775	1.11E-07	1564.531281	2524.23059
Weight	-28.3499	3.826147	-7.40951	1.48E-06	-36.46093318	-20.238797

Use the output from a simple regression analysis above. What is the regression equation derived from this output?

Group of answer choices

Y = 3.826 X - 28.39

Y= 226.354 + 3.82615 X

Y = 2044.38 - 28.3499 X

Y = 2044.38 X - 28.3499