The residual value comes out to be 2.94 cm and height is 157.06 cm
<u>Explanation:</u>
The regression equation is calculated at the first step.
height = 105.08 plus 2.599 multiply foot length
At foot length = 20cm, height = 105.08 plus 2.599 multiply 20
= 157.06 cm
Residual = Actual minus predicted value = 160 minus 157.06
=2.94 cm
B) The residual standard deviation generally gives a sense of the goodness of fit of goodness of regression equation on our data. The magnitude tells us that how much will be predicted values from model will vary from actual values. the linear model is justified.
ANSWER:
What I would to is look it up on google or brainly.
Step-by-step explanation:
Answer:
the circumference is 25.133 and the area is 50.265
It is, because Lauren may have gotten a incredibly high score on the first test, and a worse one on the second, while Antoine may have gotten a horrible score for the first test.
Answer:
The answer is B
Step-by-step explanation:
