❤️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 ↩️
Ok here are my interpretations for these sentences.
1.)2r+3s=13
2.)t/40=12-(1/2*s)
3.)200-3x=9
4.)1/3x+25=2x
5.)m^2-n^3=16
6.)2z=2(v+z)
Hope this helps!=)
Are you forgetting to add an image? Or did you mean to include more text? Please review your problem before posting it next time.
Recall that the short leg is the side opposite the 30 degrees angle. And the ratio of the short leg to the hypotenuse is 1:2.
Let the length of the short leg be x, then,
I'm pretty sure this one is super easy
you just take 144 and divide it by 6 which would look like
144/6 then the answer is 24
