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
This is a bit of algebra.. you do not know either side so the width you will label x and the length you will label x +8. we know that if you add all 4 sides, you will have 256 feet. x + x + (x+8) + (x+8)=256 4x+16=256, Subtract 16 from both sides and you have 4x=240. divide by 4 on both sides and you get. x=60.. That makes the width = 60ft and the length = 68ft
1. y= 2r+5 2. $17 3. 5 rides
Answer:
1.1%
Step-by-step explanation:
22- 17 = 5% of 22 = 1.1
