Question

Think about a group of people for a moment, then describe a correlation, (between two variables of your choice) among them. Is the correlation strong? What would you guess to be the r-value, the linear correlation coefficient?

Answer #1

**ANSWER
:-**

Correlation is a factual measure that shows the degree to which at least two factors vary together.

A positive relationship demonstrates the degree to which those factors increment or abatement in parallel a negative connection shows the degree to which one variable increments as different reductions.

Let us suppose x and y are the variable sets

to know the value of correlation

Yes, the correlation strong

R value and the linear correlation coefficient can be concluded by the above formula.

**Thank you.**

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...

Pick any two variables that you feel may be related and estimate
what you think the strength of the correlation coefficient would be
for those two variables. In your response, estimate the value of r.
For example, specify a strong (.7 to .9), medium (.4 to .6), or low
(0 to .3) value for r. The value of the coefficient can be positive
or negative. For example, consider an increase in police patrols in
a neighborhood and the number of...

Pick any two variables that you feel may be related and estimate
what you think the strength of the correlation coefficient would be
for those two variables. In your response, estimate the value of r.
For example, specify a strong (.7 to .9), medium (.4 to .6), or low
(0 to .3) value for r. The value of the coefficient can be positive
or negative. For example, consider an increase in police patrols in
a neighborhood and the number of...

Pick any two variables that you feel may be related and estimate
what you think the strength of the correlation coefficient would be
for those two variables. In your response, estimate the value of r.
For example, specify a strong (.7 to .9), medium (.4 to .6), or low
(0 to .3) value for r. The value of the coefficient can be positive
or negative. For example, consider an increase in police patrols in
a neighborhood and the number of...

You wish to determine if there is a linear correlation between
the two variables at a significance level of α=0.10. You have the
following bivariate data set.
x
y
41.4
82.8
48.4
97.1
49.9
89.8
47
92.8
20.5
63.7
40.5
74.3
33
70.2
25.9
64.9
29.1
66.1
28.7
80.2
9.7
41.8
23.2
50.3
13.4
49
-5.2
25.4
23.8
56.2
22.5
53.3
30.9
67.4
7
39.6
18.7
46.4
10.5
25.8
What is the correlation coefficient for this data set?
r =...

Describe the relationship between two variables when the
correlation coefficient r is near 0.

Since a sample data shows that a linear correlation coefficient
between two variables is about 0.08, then it rules out a possible
causal relationship between the two variables.
Yes
No

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

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