What does a residual value of –0.8 mean in reference to the line of best fit? the given point is 0.8 units above the line of best fit. the given point is 0.8 units below the line of best fit. the line of best fit is not appropriate to the data. the line of best fit has a slope of 0.8.

The given residual value -0.8 represents that:

The given point is 0.8 units below the line of best fit.

" A residual is the difference between the observed y-value (from scatter plot) and the predicted y-value (from regression equation line) "

If the residual value is negative that means the scatter point lie below the regression line and if it is positive than the scatter point lie above the line.

Hence the residual value -0.8 represents:

 The given point is 0.8 units below the line of best fit.

x² + 11x + 18 < 0  

[-11 ± sqrt(121 - 72)]/2 = (-11 ± 7)/2  

solution: (-9, -2)

step-by-step explanation: