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.
Because mistakes are made so that people can learn from them. Sometimes some mistakes make it into the public and you learn from that. This is why we have history to remind us of our country's mistakes and right choices so that these mistakes may never be made again.
7 x 5 = 35
35 x 12 =420
Answer:420
Answer:
It's the bottom one
Step-by-step explanation:
I got it wrong on the IXL, but the explanation says so. If someone can help me, please do because I have no idea how to do these
Answer:
3m+4 & m+4+2m
Step-by-step explanation:
substitute m=1
3(1)+4 and (1)+4+2(1)
4+3=7 5+2=7
substitute m=4
3(4)+4 4+4+2(4)
12+4=16 8+8=16
