Login

Welcome, Guest. Please login or register.

April 27, 2024, 06:43:33 pm

Author Topic: what form chap 3 of core  (Read 885 times)  Share 

0 Members and 1 Guest are viewing this topic.

tcstudent

  • Victorian
  • Forum Obsessive
  • ***
  • Posts: 211
  • Respect: +2
what form chap 3 of core
« on: April 18, 2013, 06:49:27 pm »
0
hello, im bit confused when it comes to linear regression, if the question does not ask for y=mx+c or y=a+bx which one do i use?

McFleurry

  • Victorian
  • Forum Obsessive
  • ***
  • Posts: 296
  • Respect: +4
  • School Grad Year: 2013
Re: what form chap 3 of core
« Reply #1 on: April 18, 2013, 07:07:36 pm »
0
They are the same.
c=a (y-int)
m=b (gradient)
Doesn't matter the way you write it, as long as it's right. :)
"Never mistake motion for action". ~ Ernest Hemingway

Biomedical Sciences/Law @ Monash

tcstudent

  • Victorian
  • Forum Obsessive
  • ***
  • Posts: 211
  • Respect: +2
Re: what form chap 3 of core
« Reply #2 on: April 18, 2013, 07:11:45 pm »
0
thanks, but when you do
y=mx+c eg y=2x+5
or
y=a+bx
y=5+2x

it appears differently so im just confused and ive got a test tomorrow so im trying to get it right before its too late,

McFleurry

  • Victorian
  • Forum Obsessive
  • ***
  • Posts: 296
  • Respect: +4
  • School Grad Year: 2013
Re: what form chap 3 of core
« Reply #3 on: April 18, 2013, 07:25:33 pm »
0
okay: just make them the same (ie rearrange them :) )
so, as a=c, put them on the end.

Thus, you have,
1) for y=ax+c
y=2x+5
2) for y=mx+b
y=2x+5

Compare the two. Same, yes?
Good luck with the test
"Never mistake motion for action". ~ Ernest Hemingway

Biomedical Sciences/Law @ Monash

Yacoubb

  • Guest
Re: what form chap 3 of core
« Reply #4 on: April 20, 2013, 11:51:05 am »
0
Typically the following is used:

* Least Squares Regression Line. y=a +bx
* Three-Median Regression Line   y= mx + c

It isn't really a fixated rule; just ensure that you are aware of the slope & intercept of the regression model when it comes to determining and/or interpreting these statistical values in further analysis.

Zealous

  • ATAR Notes Lecturer
  • Victorian
  • Forum Leader
  • ****
  • Posts: 889
  • zeal: great enthusiasm in pursuit of an objective.
  • Respect: +242
Re: what form chap 3 of core
« Reply #5 on: April 20, 2013, 12:15:33 pm »
0
Typically the following is used:

* Least Squares Regression Line. y=a +bx
* Three-Median Regression Line   y= mx + c

It isn't really a fixated rule; just ensure that you are aware of the slope & intercept of the regression model when it comes to determining and/or interpreting these statistical values in further analysis.

Well both are exactly the same, with just the y intercept and gradient represented with different pro-numerals. I didn't think that "typically" you use a + bx for least squares and mx + c for three median, I've just used whatever I'm comfortable with (which I see more of mx + c due to methods).

Just make sure you can interpret the y intercept and the gradient.
You may get questions like:

fare = a + b x maximum distance

and you are required to find a and b, so you need to recognise in this case that a is the y intercept and b is the slope/gradient.

And you may get it the other way round:

fare = a x maximum distance + b

So you just need to be able to identify which one is the slope and what is the y intercept and sub in appropriate values.
« Last Edit: April 20, 2013, 12:17:28 pm by Ovazealous »
vce:
2013: Further [50] (+Premier's) | Methods [48]
2014: Physics [50] | Specialist | Accounting | English Language || ATAR: 99.70 + Australian Student Prize!
uni:
2015: Bachelor of Commerce and Engineering (Honours)

Yacoubb

  • Guest
Re: what form chap 3 of core
« Reply #6 on: April 20, 2013, 12:55:12 pm »
0
Well both are exactly the same, with just the y intercept and gradient represented with different pro-numerals. I didn't think that "typically" you use a + bx for least squares and mx + c for three median, I've just used whatever I'm comfortable with (which I see more of mx + c due to methods).

Just make sure you can interpret the y intercept and the gradient.
You may get questions like:

fare = a + b x maximum distance

Yeah I know.. I just said typically when a regression model is described in each of the ways, that is the typical format. I KNOW that they are the same and I mentioned that :)

and you are required to find a and b, so you need to recognise in this case that a is the y intercept and b is the slope/gradient.

And you may get it the other way round:

fare = a x maximum distance + b

So you just need to be able to identify which one is the slope and what is the y intercept and sub in appropriate values.