Answer:
Step-by-step explanation:
<u>Simple Linear Regression
</u>
It a function that represents the relationship between two or more variables in a given data set. It uses the method of the least-squares regression line which minimizes the error between the estimate function and the real data.
Let's compute the best-fit line for the data
First, we find the sums
Then, we compute the averages values
We will also compute the sums of the cross-products and the sum of the squares
We will compute Sxy and Sxx
The slope of the linear regression function is given by
The y-intercept ot the linear function is
Thus the best-fit line is
The correct option is the last one
Answer:
<h3>-3</h3>
Step-by-step explanation:
For two parallel lines. their slope are equal
Find the slope of each of the lines
For line A;
m = 0 -y/0+1
mA = -y/1
For line B;
mB = 9 - 3/8 - 6
mB = 6/2
mB = 3
since their slope are equal hence mA = mB
-y/1 = 3
-y = 3
y = -3
Hence the value of y is -3
Answer:
6 x 3 = 18 + 2 = 20/3
3/4 X 3/20 =
3 X 3
-------- = 9/80 already simplified to lowest
4 X 20
no, y does not relate to x. x is going down by .5 and y is going down by a third of the original number.
To solve this problem, we should understand how order of operations works. Perhaps the best way to show you this would be solving the problem with all of the work clearly labeled?
=4[2(21-17)+3] Original Problem
=4[2(4)+3] Solved the Parentheses
=4[8+3] Multiplied the 2 and 4
=4[11] Added the 8 and 3
=44 Multiplied the 4 and 11
An easy way to remember this is PEMDAS, which is an acronym for Parentheses, Exponents, Multiplication/Division, and Addition/Subtraction. Although it will not apply in this scenario (because we have brackets), it will come in handy for many others like this.
Using all of the information above, we can conclude that this expression equals 4.
