Suppose you are interested in examining the relationship between a person's height and their mother's height. You randomly select 40 people for your analysis and record their heights and their mothers' heights in centimetres. You find a linear pattern in the scatterplot of the data. The table given below shows the computer output of the simple linear regression of the data to predict the height of a person based on their mother's:

Predictor	Coefficient	Std Err	t-Value	p-Value
Constant	26.271	7.856	2.85	0.008
Mother's height	0.7137	0.1586	4.67	0.000

R-squared = 0.468

Assuming the regression coefficients are estimated at a 99% confidence level, which of the following is the correct equation of the regression line?

Y = 0.7137 + 26.271X, where X represents mother's height and Y represents person's height, in centimetres

Y = 26.271 + 0.7137X, where X represents mother's height and Y represents person's height, in centimetres

Y = 0.7137 + 26.271X, where X represents person's height and Y represents mother's height, in centimetres

Y = 26.271 + 0.7137X, where X represents person's height and Y represents mother's height, in centimetres