Question

A **Correlation Coefficient** is a measurement of
the relationship between two variables. A positive correlation
means that as one variable increases, the second variable increases
too. A negative correlation means that as one variable increases,
the second variable decreases, or as one variable decreases, the
second variable increases. Positive and negative correlations
exists in nature, science, business, as well as a variety of other
fields. Please watch the following video for a graphical
explanation of the correlation coefficient:

For Discussion #3, find an example of each of the following and cite your source.

· two variables with a positive correlation

· two variables with a negative correlation

please do not copy another ones answer to solve this. thanks

Answer #1

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....

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

How might squaring a correlation coefficient be useful to
understanding the relationship between two variables?
Why is it important to remember “association, not causation”
when discussing correlations? Please provide an example.

Why is it advisable to generate a scatterplot before computing a
correlation coefficient between two variables? Describe how a
scatterplot might differ when viewing correlations that represent
positive, negative, and no relationship between predictor and
criterion variables. Is it possible to have a relation between
variables that systematic (i.e., reliable and predictable) yet not
linear?

One of the major misconceptions about correlation is that a
relationship between two variables means causation; that is, one
variable causes changes in the other variable. There is a
particular tendency to make this causal error, when the two
variables seem to be related to each other.
What is one instance where you have seen correlation
misinterpreted as causation? Please describe.
an orginal post please

1. When comparing two companies, a correlation coefficient of 0
means there is:
A.
Positive correlation
B.
Negative correlation
C.
No correlation
D.
Need more information
2. When comparing two companies, a correlation coefficient of +1
means there is:
A.
Positive correlation
B.
Negative correlation
C.
No correlation
D.
Need more information
3. Toyota Motor Corporation would like to increase revenue and
decrease risk. It should merge with:
A.
Nissan Motor Company
B.
Ford Motor Company
C.
Google
D.
Honda...

Suppose we have the correlation coefficient for the relationship
between two variables, A and B. Determine whether each of the
following statement is true or false.
(a) The variables A and B are categorical.
(b) The correlation coefficient tells us whether A or B is the
explanatory variable.
(c) If the correlation coefficient is positive, then lower values
of variable A tend to correspond to lower values of variable
B.
(d) If the correlation between A and B is r...

One of the major misconceptions about correlation is that a
relationship between two variables means causation; that is, one
variable causes changes in the other variable. There is a
particular tendency to make this causal error, when the two
variables seem to be related to each other.
What is one instance where you have seen correlation
misinterpreted as causation? Please describe
Can you help me understand how to answer this question

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)...

A negative correlation between variables X and Y means that
____.
A. the correlation between variables X and Y is very weak
B. scores on variable X has little predicting power on the
corresponding scores on variable Y
C. higher scores on variable X correspond to lower scores on
variable Y and vice versa
D. Higher scores on variable X correspond to higher scores on
variable Y while lower scores on variable X correspond to lower
scores on variable Y...

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