❤️Hello!❤️For experimental data it may be good to use linear regression.
For precise data you do not need linear regression.
Step-by-step explanation: If you have a number of experimentally generated data points that are subject to inaccuracies then you can use something like linear regression to generate a linear model that fits the data reasonably well. Many modern calculators have a linear regression capability.
On the other hand, if you are given precise data, you should be able to generate a model that fits the data exactly. For example, given points (
x
1
,
y
1
) and (
x
2
,
y
2
) which are supposed to lie on a line, the equation of the line in point-slope form is:
y
−
y
1
=
m
(
x
−
x
1) where m
=
y
2
−
y
1
x
2
−
x
1 from which we can derive the slope-intercept form:
y
=
m
x
+
c where c
=
y
1
−
m
x
1. ☯️Hope this helps!☯️ ↪️ Autumn ↩️
Answer:
For every 1 vote cast for Candidate D, there were 4 votes for candidate C.
Step-by-step explanation:
Hope this helps! Have a good day!
Answer:
a = 1/(x-3)^2 + y/(x-3)^2
Step-by-step explanation:
2w+2*(5w) less or equal (≤) to 96
This is because w represents the width; it translates to 2 times the width and 10 times the width is less or equal to 96 (2 times is 2 widths, 10 times is 2 lengths, 5 widths each)
The sign is ≤.
