Answer:
48m squared
Step-by-step explanation:
- cut the problem in half horizontally
you get two squares one square is 4 by 4 and the other 8 by 4
4 times 4=16 8 times 4=32 32+16=48
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:
Step-by-step explanation:
Basically there are 3 addition properties and they are associative property, identity property, and commutative property.
Commutative property is just changing the order of the addends. Example: 26+19+34+21= 21+34+19+26
Identity Property is just adding a 0 to the number that doesnt change anything. Example: 26+19+34+21 +0 = 100
Associative property is just changing the grouping of the addends. Example: (26+19) + (34+21)
I know these properties may be complicated i know inhate them too haha but i hope i helped :) if you want you can search up the distributive property too but its with multiplication and addition combined and its harder but i think these are the 3 main properties.
Hope this helps!