6
Let's Lk at the Relationship
betwn Two Variables
Nice weather.
*Scritch, clump
Not a bad
day to study
outdrs.
Why are you
wearing that
sandal?! You're
wearing two
dierent
shoes!
Oops!
You're
right.
If I were
here with
mr. Igarashi...
I'd be so hay.
Mr. Igarashi...
Mr. Igarashi...?
Today, I am going
to talk about
the relationship
betwn two
variables.
Oh, no! I am
begiing to
lose my memory
of him.
*Scritch, clump
*
*
Mr.
Yamamoto's
quirks are
t strong,
and that's
making me
forget
Mr. Igarashi!
Oh! Thank you For wiping
the bench for me.
Oh, I
know
that
song!
OPEN!
Are you
listening?
Ah...Yes I am.
So, for example, Does
a taer person weigh
more? Or, do people
favor dierent soda
brands if they are
dierent in age?
Or, Do people suort
dierent political
parties if they live in
dierent areas?
Is that something like
“Do you love me, now
that I can dance?”
NOW...
Oh, here
begins the
leon!
Let's Lk at the Relationship betwn Two Variables 113
You can s
whether or not
two variables are
related to each
other by drawing a
chart.
Scaer chart of height and weight
Numerical and
numerical
Weight
(Kg)
Height (cm)
Numerical and
categorical
Categorical
and
categorical
Scaer chart of favorite Soda brand and age
Cylinder chart of Place of Residence
and suort of political party x
rural areas
urban areas
Aha!
114 Chapter 6
However,
unfortunately,
the charts do
not te you how
strongly the
variables are
related.
In other words,
you caot grasp
the "degr" of
relation.
What should I
do then?
we' figure out
the coeicient
that can be used
together with the
chart to describe
coelation, or
the degr of
Linear relation of
two variables.
aNOTHER index...
Hm.
If so...
Can a topic like
this be analyzed
statisticay t?
*special
Feature Article:
Fashionable
Girls' Survey
*how Much Do
They Spend On
brand-name
fashions?
Great! This would
make a very gd
example.
*
*
Let's Lk at the Relationship betwn Two Variables 115
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