Question

1. Name two ways in which two variables could be related. Select the two most correct answers. Choose the correct answer below.

A) Strong and moderate B) Moderate and negative C) Weak and moderate D) strong and weak

2. Name a graph that can be used to quickly illustrate the relationship between two variables? Choose the correct answer below.

A) Histogram B) Regression line C) Scatter plot D) Time series graph.

3. What do we mean by the strength of the linear relationship between two variables? Choose the correct answer below.

A) Strength is used to describe the size of the points in the
set.

B) Strength is used to describe how the points are close to each
other.

C) Strength is used to describe which set of points is
stronger.

D) The set of points that controls the other set of points is
called the strength of the relationship.

5. What do we mean by the direction of the linear relationship between two variables? Choose the correct answer below.

A) Direction describes if the points are rising or falling as you go from left to right.

B) Direction is used to describe if the points are pointing east or west.

C) Direction is used to describe possible directions when arrows are placed on the points.

D) Direction is used to describe if the points are pointing North or South.

7. What is the notation for the sample linear correlation coefficient and for the population linear correlation coefficient? Write down your answers on the spaces provided.

A) Population: _______________ B) sample:______________________________

Answer #1

**1**. Name two ways in which two variables could
be related.

**B) Moderate and negative**

**2**. Name a graph that can be used to quickly
illustrate the relationship between two variables?

**C) Scatter plot**

**3**. What do we mean by the strength of the
linear relationship between two variables?

**B) Strength is used to describe how the points are close
to each other.**

**5**. What do we
mean by the direction of the linear relationship between two
variables?

**A) Direction describes if the points are rising or
falling as you go from left to right.**

**7**. A)
**Population**:

B) **sample** :

Which statement explains why correlation could be 0 even if a
strong relationship between two variables existed?
Group of answer choices
Since the correlation is 0, there is no strong relationship
between the two variables; and a scatterplot would be
misleading.
Correlation can be 0 even if there is a strong linear
relationship between the variables.
Correlation only measures the strength of the relationship
between two variables when the units of the two variables are the
same.
Correlation does not...

correlation measures the degree to which two variables are
related to one another.
Here are the definitions of the three possibilities:
Positive correlations: In this type of
correlation, both variables increase or decrease at the same time.
A correlation coefficient close to +1.00 indicates a strong
positive correlation.
Negative correlations: This type of
correlation indicates that as the amount of one variable increases,
the other decreases (and vice versa). A correlation coefficient
close to -1.00 indicates a strong negative correlation....

Suppose the correlation coefficient between two variables is
found to be 0.83. Which of the following statements are true?
small values of one variable are associated with large values of
the other variable
the relationship between the variables is weak
a scatter plot of the points would show an upward trend
low values of one variable tend to be paired with low values of
the other variable
there is a strong positive curvilinear relationship between the
variables
there is a...

Consider the following sample data for two variables. x = 16,
6,4,2 and Y= 5,11,6,8 a. Calculate the sample covariance
Sxy= b. Calculate the sample correlation coefficient
rxy= c. Describe the relationship between x and y. Choose the
correct answer below. A. There is a positive linear relationship
between x and y. B. There is no linear relationship between x and
y. C. There is a perfect negative linear relationship between x and
y. D. There is a perfect positive linear...

A) Two variables have a high covariance. This means the two
variables have a strong relationship. T/F
B) For a variable x, the sample mean is 8 and the sample
standard deviation is 2. One of the observations is 15. Is this
observation an outlier?
Group of answer choices
Yes, the z-score is greater than 3
No, the z-score is between -3 and 3
Yes, the z-score is between -3 and 3
No, the z-score is less than -3
C)...

Correlation is a visual method for determining the relationship
between two variables... including linear, curve linear, strong,
weak, positive, negative, and no relationships. The correlation
coefficient is a mathematical reflection of that relationship.
Regression analysis is the same thing as the correlation
coefficient. True or False

Select at least three variables that you believe have a linear
relationship.
A. Specify which variable is dependent and which are
independent.
B. Collect the data for these variables and describe your data
collection technique and why it was appropriate as well as why the
sample size was best.
C. Submit the data collected by submitting the SPSS data file
with your submission.
D. Find the Correlation coefficient for each of the possible
pairings of dependent and independent variables and...

When you are presented with a Pearson’s correlation
coefficient between two variables for which an increase in one
predicts a decrease in the other, and vice versa, the Pearson’s
number will be
zero; the Pearson number is only meaningful if the
variables move in the same direction as one another
close to -1 if the correlation is strong, negative but
near zero if the correlation is weak
close to -1 if the correlation is strong, close to +1
if the...

Five observations taken for two variables follow.
xi
4
6
12
4
15
yi
50
50
40
50
20
compute the sample correlation coefficient (to 3
decimals).
What can you conclude, based on your computation of the sample
correlation coefficient?
There is a strong positive linear relationship
There is a moderate positive linear relationship
There is neither a positive nor a negative linear
relationship
There is a strong negative linear relationship
There is a moderate negative linear relationship

A coefficient of correlation of -0.9 indicates the relationship
between the two variables is
(a) weak and negative
(b) strong and positive
(c) strong and negative

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 59 seconds ago

asked 6 minutes ago

asked 10 minutes ago

asked 12 minutes ago

asked 28 minutes ago

asked 41 minutes ago

asked 51 minutes ago

asked 53 minutes ago

asked 1 hour ago

asked 2 hours ago

asked 2 hours ago

asked 3 hours ago