ANSWER:
I believe you wish to calculate the sum of squares total (SST) for this regression analysis. The sum of squares total is 1053.15
Step-by-step explanation:
The sum of squares total is numerically derived by adding the sum of squares regression (regression sum of squares) to the sum of squares error (error sum of squares). The regression sum of squares here is 752.25 and the error sum of squares is 300.9
This gives us a total sum of squares of 1053.15
Sums of squares tell if a linear regression of one variable (or variables) on another is good or not.
The squared differences between the observed dependent variable and its mean is a measure of the total variability of the data set.
So the SST is equal to 752.25 + 300.9 = 1053.15
Answer:
Step-by-step explanation:
The area of a rectangle is equal to 
, where 
is the length of the rectangle and 
is the width of the rectangle. In a rectangle, opposite sides are equal.
Therefore, we can write the following system of equations:
Expand the first equation:
Substitute the second equation into the first (
):
Solving for 
:
To solve this, you would first add the amount of the 3 checks they wrote together. So, 74+132+48=254. Then, we know that they had $317 in their checking account. Now, you would take the amount they had in their account (317), and subtract it by the total of the 3 checks they wrote (254).
The checking account balance is 317-254=63, so $63 is their checking account balance.
I really hope this helps you.
5(6x+5)-2(4x-1) = 30x+25-8x+2 = 22x+27
