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Explore the key concepts of correlation and linear regression in Statistics 1.4. This summary covers positive and negative correlations, the correlation coefficient, and the interpretation of regression lines. Learn the difference between correlation and causation, and enhance your exam skills with practical examples and graph interpretations.

Understanding Correlation & Regression

Revision note

Nikolay 

United Kingdom

Study note

English (US)

edexel applied math: statistics 1.4 correlation

Maths

DEFAULT

Statistics

Edexel Applied Maths: Statistics 1.4 Correlation

Scatterplots & residuals

Fitting trend lines to scatterplots

Statistics 1 Chapter 4
CORRELATION
When introducing a second variable, we need to consider the
relationship between them
CORRELATION is the strength of said relationship
WEAK
CORRELATIONS
STRONG
CORRELATIONS
POSITIVE CORRELATIONS
weak positive
X
strong positive
A Correlation doesn't
have to be linear
A CORRELATION # CAUSATION
just because there is a
correlation between x
and y
doesn't mean x causes y
this chapter is special:
it has been dumbed down,
and online questions
hard.
могу
very
X
x
X
X
seem
NEGATIVE CORRELATIONS
no correlation
weak negative
strong negative
AVARIABLES & AXIS
independent variable
on x axis
dependent variable
on y
axis EXAM SKILLS
Ⓒ Interpret the correlation from a graph
GRAPH
Correlation or Causation?
Identify if the variable are causally related
(not casually)
EX 4A (p. 61)(Ans p.215)
a) Positive
b) The longer someone takes this drug, the larger the loss in weight
(2a) No correlation
b) The scatter graph doesn't support this claim
30
3
touching (g)
mass
20
10
15
positive/negative correlation
(strength usually not needed)
x
20
25
mass not touching (g)
b) Positive: when mass not touching increases, mass touching increases
30
35 4.2: Linear Regression
2625
Xx
учать.
Interpreting a: y
Time spent revising
Non-linear regression.
x
estimate wi
within
y=20+ 3x
(e.g. when
range
used to predict a result
least
model
in
учат
form
value when x is 0
They
will NOT
give you this !
Interpolating
vs Extrapolating
X X
line of best fit
a+bx
you
Interpreting b: y increase when & increases | unit
(e.g. you get 3 marks for every
hour
Justifying linear
·regression
"data suggests linear relationship"
squares regression line
minimize [(y-y)²
don't revise, you will get 20 marks)
line of best fit
estimate out of range
you
- graphs")
(see "straight line graphs"
notes in pure math
No need to
perform.
revise)
Interpolation is more reliable
Extrapolation is less reliable

Edexel Applied Maths: Statistics 1.4 Correlation

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Edexel Applied Maths: Statistics 1.4 Correlation

Can't find what you're looking for? Explore other subjects.

Knowunity is the # 1 ranked education app in five European countries

Knowunity was a featured story by Apple and has consistently topped the app store charts within the education category in Germany, Italy, Poland, Switzerland and United Kingdom. Join Knowunity today and help millions of students around the world.

4.9+

13 M

#1

950 K+

Still not sure? Look at what your fellow peers are saying...

I love this app so much [...] I recommend Knowunity to everyone!!! I went from a C to an A with it :D

The application is very simple and well designed. So far I have found what I was looking for :D

Love this App ❤️, I use it basically all the time whenever I'm studying