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:
A≈1206.37 cm²
Step-by-step explanation:
Radius = 12
Height = 16
Using the formulas
A= πrl+πr²
l = √r²+h²
A=πr(r + √h²+r²)=
π·12·(12+√16²+12²) ≈1206.37158cm²
The given expression is

THe given expression is a rational expression, and rational expression should not have 0 in the denominator.
Moreover, the denominator is a square root term, and square root don't have a value for negative number .
Therefore 2x+10 must be greater then 0. That is

Therefore the required domain in set builder form is
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