A should be the right answer. Hope this helped!
We want to find the residual for the given point and line of best fit. We will see that the residual is 0.1
<h3>
How to find the residual?</h3>
The residual is the vertical distance between the experimental points and the adjusting line.
In this case, the line is:
y = 1.1*x + 3.4
And the experimental value is (5, 8.8)
To get the predicted value correspondent to the above one, we need to evaluate the line in the same x-value, so we get:
y = 1.1*5 + 3.4 = 8.9
Then the residual is the absolute value of the difference between the y-values of the experimental value and the predicted value:
|8.8 - 8.9| = 0.1
If you want to learn more about residuals, you can read:
brainly.com/question/1447173
Answer:
187, 199, 211, 250, 298, 331, 347, 362
Answer:
Hi there!
Your answers are:
a) x= 10
b) x= 4
c) x= 2
Step-by-step explanation:
a) 5+2x=25
-5
2x= 20
/2
x= 10
<u>Plug back in!</u>
5+2(10)= 25
5+20=25
25=25✓✓✓
b) 14= 5x-6
+6
5x= 20
/5
x= 4
14= 5(4)-6
14= 20-6
14=14✓✓✓
c) 15= 4x+7
-7
8= 4x
/4
2=x
15= 4(2)+7
15= 8+7
15= 15✓✓✓
Hope this helps!
Answer:
expressions.txt
Step-by-step explanation:
woah those were some hard expressions to simplify!!