The approximate line of best fit to be y = 1.6x – 4, the residual value when x =3 is -1.8.
What is the residual value?
A residual is a difference between the observed value and the predicted value on the y-axis.
The residual is the vertical distance from a data point to a straight line in linear regression lines.
Kiley gathered the data in the table. She found the approximate line of best fit to be y = 1.6x – 4.
The difference between the observed value of the dependent variable (y) and the predicted value (ŷ) is called the residual (e).
When x is equal to 3, the value of y from the best fit line would be 0.8.
Therefore, the residual would be -1 - 0.8 = -1.8.
To know more about residual value click the link given below.
https://brainly.com/question/2732919
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