Answer:
The equation of the least square regression line for predicting selling price from appraised value is:
[tex]\text{Selling Price}=227.0989 + 0.8991\ \text{Appraised Value}[/tex]
Step-by-step explanation:
The general form of the  least square regression line is:
[tex]y=a+bx[/tex]
Here,
y = dependent variable
x = independent variable
a = y-intercept
b = slope
The Minitab output for regressing selling price on appraised value is:
Predictor      Coef    SE Coef    T
Constant    227.0989   95.044   2.389
Appraisal      0.8991    0.133   6.76
S = 88.7959
R-Sq = 76.5%
R-Sq (adj) = 74.9%
The constant term in the regression output represents the y-intercept and the Appraisal coefficient the slope of the regression line.
Then the equation of the least square regression line for predicting selling price from appraised value is:
[tex]\text{Selling Price}=227.0989 + 0.8991\ \text{Appraised Value}[/tex]