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:
No. This isn’t a function.
Step-by-step explanation:
Ok, functions have x values that only have 1 y value. It doesn’t matter if the y values have multiple x values.
So, first look at the x values, all of them have 1 y value but the number 6. Therefore, this does not represent a function.
The answer is the 2nd one.
You can find the slope by making the equation into slope-intercept form, in other words, solving it for y.
6x - 3y = 12 Subtract 6x from both sides
-3y = -6x + 12 Divide both sides by -3
y = 2x - 4
Slope Intercept form is y = mx + b, where m represents slope. M in your equation is 2, so the slope of the line is 2.
ANSWER
EXPLANATION
The given expression is
We multiply out to obtain,
Recall that,
We apply this rule to obtain,
This simplifies to
