Answer:
[tex]y=-2.9x+13.5[/tex]
Step-by-step explanation:
Linear Regression: Best Fit
It's the equation of a line that approaches the best to a set of data points, tipically obtained from measures of some physical reality. It's computed by using the least squares method.
The calculator outputs
y = ax+b
a=-2.9
b=13.5
r2 =.9688940092
r=-.9843241383
The values of a and b need to be replaced in the equation to complete the line of best fit
[tex]\boxed{ y=-2.9x+13.5}[/tex]
