Hello there.
Linear regression is a useful tool that allows calculating approximate values for a function that passes through given points(with the best error possible). It is very useful in science to make an estimation of the comportment of movement, electricity and some decays.
For example, I will relate a case in a physics lab: We calculated the positions of a car in an air rail and the times. With this information, I was able to make a linear regression to calculate the Position function for that case.
Answer: 14.99
Step-by-step explanation:C=2πr
d=2r
Solving ford
d=C
π=47.1
π≈14.9924
Answer:
37 cents
Step-by-step explanation:
Given that a grocery store sells Swiss cheese
Rate per pound = 5.90 dollars
1 pound =16 oz,
Hence cost of 16 ounces is given as 5.90
SO cost of one ounce of Swiss cheese =
Or 36.875 cents
Round off to nearest cent as
37 cents since after decimal digit 8 is more than 5.
Hence answer is 37 cents
-1/2 because slope is the rise over the run. If you count on the grid from one point on the line to another you go up one and 2 to the left meaning the slope is 1/2, buttttt when the line decreases going to the right, it has a negative slope so you just add a - sign in front
Answer:
An example below
Step-by-step explanation:
5(4a + 7(a + 2b))
First simply the inside bracket using distributive property:
7(a + 2b)
7(a) + 7(2b)
7a + 14b
5(4a + 7a + 14b)
5(11a + 14b)
Use distributive property again
5(11a) + 5(14b)
55a + 70b
