Answer:
Option B.
Step-by-step explanation:
The general equation of best fit line is
[tex]y=mx+b[/tex] .... (1)
where, m is slope and b is y-intercept.
[tex]m=\frac{\sum_{i=1}^nx_iy_i-n\overline{x}\overline{y}}{\sum_{i=1}^nx_i^2-n\overline{x}^2}[/tex]
[tex]b=\overline{y}-b\overline{x}[/tex]
Using the graphing calculator we get
[tex]m=1.56015\approx 1.560[/tex]
[tex]b=-4.10526\approx -4.105[/tex]
Substitute m=1.560 and b=-4.105 in equation (1).
[tex]y=1.560x-4.105[/tex]
The equation of the line of best fit for the following data y = 1.560x - 4.105.
Therefore, the correct option is B.
