Given the line of best fit for a data set of data points with the equation y=5x-2.5,what is the residual for the point (4,13)

-4.5

Step-by-step explanation:

The predicted value from the model is calculated by substituting x with 4 in the regression equation;

y = 5(4) - 2.5

y = 17.5

The actual value when x is 4 is given as 13. The residual is simply the difference between the actual and the predicted value;

residual = actual value - predicted value

residual = 13 - 17.5

residual = -4.5

2 5/8 is the final answer! : )

step-by-step explanation:

there is a formula i can give you:

it is r^2*n*sin(360/n) divided by 2 where r represents the "radius" and n is the number of sides.

plug them in:

(10sqrt(3))^2*6*sin(360/6) divided by 2

100*3*6*sin(60) divided by 2

900*sin(60)

900*sqrt(3)/2

450*sqrt(3)

approx is 779.4 cm^2