High School
SAT
SAT Elite 1500
SAT Tutoring
ACT
ACT Elite 33
ACT Tutoring
University
MCAT
MCAT Elite 515
Med-School Admissions
Pre-Med Tutoring
Pre-Med Plus
LSAT
LSAT Elite 170
LSAT Self-Paced
LSAT Tutoring
DAT
DAT Elite
DAT Tutoring
Log in
Get Started for Free
Correlation
Related Topics
Wize University Statistics Textbook > Scatterplots, Association, and Correlation
Correlation
2 Activities
The correlation between midterm grades and final exam grades is
r
=
0.88
r=0.88
r
=
0.88
. The correlation between assignment grades and final exam grades is
r
=
0.44
r=0.44
r
=
0.44
.
Which of the following is
false
?
Students who do well on the midterm do well on the final exam.
Students who do poorly on the midterm do poorly on the final exam.
If you did poorly on the assignments, you could still do well on the final exam.
The relationship between midterm grades and final exam grades is more linear than the relationship between assignment grades and final exam grades.
I don't know
Check Submission
More Correlation Questions:
The correlation between the number of hours of operation and sales in dollars at Pino's Pizza is 0.43. Which of the following is true?
Correlation and Regression Line
If
r
=
−
1.00
r=-1.00
r
=
−
1.00
, then 100% of the data points fall exactly on the regression line and the slope cannot be equal or greater than 0.
Correlation
The correlation between the number of hours of operation and sales in dollars at Pino's Pizza is 0.43. Which of the following is true?
Correlation
Numbers in a data set are in dollar units ($). Which of the following measures will not be in dollar units?
Correlation
Which of the following statements is/or
TURE
? (select all that apply)
Correlation
True or False: A correlation coefficient of 0.6 means that 60% of the data points in the scatter plot have a linear relationship.
Predictions and Residual Plots
Suppose the following summary data was given:
x-variable:
μ
x
=
10
,
s
x
=
2
\mu_x=10,\ s_x=2
μ
x
=
10
,
s
x
=
2
y-variable:
μ
y
=
250
,
s
y
=
10
\mu_y=250,\ s_y=10
μ
y
=
250
,
s
y
=
10
Correlation
If we double all the
Y
Y
Y
data and without changing the
X
X
X
data, the correlation will not change but the slope will get steeper.
Correlation
If
R
2
=
0.86
R^2=0.86
R
2
=
0.86
, then there must be a strong, positive correlation between
X
X
X
and
Y
Y
Y
.
Correlation
The correlation between the number of hours of operation and sales in dollars at Pino's Pizza is 0.43. Which of the following is true?
Hypothesis Testing: Correlation
For the following statements, select true or false. Enter T for True, F for False.
Correlation
If we swap
x
x
x
and
y
y
y
, what will happen to the correlation coefficient
r
r
r
?
Correlation
In a plot, if we swap
x
x
x
and
y
y
y
,
r
r
r
will not change.
Correlation
r
>
0
r>0
r
>
0
; large values of
x
x
x
are associated with large values of
y
y
y
.
Correlation
r
=
−
0.91
r=-0.91
r
=
−
0.91
; the correlation is very weak.
Correlation
r
<
0
r<0
r
<
0
; increasing
x
x
x
will cause
y
y
y
to decrease.
Correlation
r
=
−
1.00
r=-1.00
r
=
−
1.00
; the correlation is perfectly negative.
Correlation
r
=
2.00
r=2.00
r
=
2.00
; the correlation is very strong.
Correlation
r
=
0.33
r=0.33
r
=
0.33
; the correlation is positive, but weak.
Correlation: Coefficient of Determination
True or false?
About 81% of the variation of quantities sold can be explained by price. The correlation between price and sales revenue is
r
=
0.9
r=0.9
r
=
0.9
.
Simple Linear Regression: Correlation
True or false? Enter T if True, F if False. (Use capital letters: T, F)
1. If 𝒓 = −𝟏. 𝟎𝟎, then 100% of the data points fall exactly on the regression line and the slope cannot be equal or greater than 0.
T
Correlation
The correlation is 0.56 when the unit for
x
x
x
is
years
. What will the correlation coefficient be after
x
x
x
is changed from years to
months
of experience? [Enter your answer with 2 decimal places, e.g. 0.36]
Correlation
Correlation
r
r
r
has no units unless
x
x
x
and
y
y
y
have the same units.