Answer:
a) May be used to predict a value of y if the corresponding x value is given
Step-by-step explanation:
In regression analysis, the vertical distance from the regression line to the data points can be minimized using the least square regression line.
Given the example of a least square regression equation:
y = ax + b
Where
a = slope
b = Y-intercept
If the value of x is known, the value of y may be predicted.
Option A is correct.
A least squares regression line may be used to predict a value of y if the corresponding x value is given
I think what you would have to do is 12 divided by 600 that would equal 50 so im pretty sure she would have to bake and sell 50 pies to recover the cost of the oven
the steps i did were
1. i added 10 and 2 to get 12
2. i divided 12 into 600
3. then i got the answer 50
so that's how i found out the total of pies she needed to sell i hope this worked for you.
Answer:
![2x^2-12x](https://tex.z-dn.net/?f=2x%5E2-12x)
Step-by-step explanation:
Given data
We are given the expression
2x(x - 6)
we can re-write it as
=2x*(x - 6)
let us open the bracket
=![2x^2-12x](https://tex.z-dn.net/?f=2x%5E2-12x)
Hence the simplified form is
![2x^2-12x](https://tex.z-dn.net/?f=2x%5E2-12x)
Answer: He got 56 questions right.
Step-by-step explanation:
Answer:
y - 13 = (5/2)(x - 4)
Step-by-step explanation:
Here we know the slope and one point on the line. Use the point-slope formula:
y - k = m(x - h).
Substituting 13 for k, 4 for x and 2.5 for m, we get:
y - 13 = (5/2)(x - 4)\