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Kiley gathered the data in the table. She found the approximate line of best fit to be y = 1.6x – 4.



What is the residual value when x = 3?

–1.8
–0.2
0.2
1.8

Kiley gathered the data in the table She found the approximate line of best fit to be y 16x 4 What is the residual value when x 3 18 02 02 18 class=

Respuesta :

Answer:

–1.8

Step-by-step explanation:

A residual is the distance between an observed (actual) point and a predicted value.  To make the prediction, we substitute 3 in for x in our line of best fit:

y = 1.6(3) - 4 = 4.8 - 4 = 0.8

To find the residual, we subtract the actual value and the predicted value:

-1-0.8 = -1.8

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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