Question

What can you say about the relation between the 2 variables if the correlation coefficient is .95?

Answer #1

Thank you...!!!

Please like....

If the correlation coefficient is close to 0, can you conclude
the 2 variables have no relation? Explain your answer

You created a scatter plot between the variables X and Y, and
found that the relation is curve-linear.
Then you computed
correlation coefficient and found that the correlation coefficient
is nearly zero. Why correlation coefficient is zero when in fact
there appears to be a curve-linear correlation between the two
variables. Explain.

Consider a correlation coefficient of .095 between variables A
and B. The correlation coefficient was calculated from a sample of
1100 respondents and is statistically significant, p < .0001.
Consider a correlation coefficient of .891 between variables C and
D. The correlation coefficient was calculated from a sample of 15
observations and is statistically nonsignificant, p > .10.
So, when should marketing analysts consider a correlation strong
enough to even consider given the issue raised above?

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

How would you interpret a correlation coefficient of A) 0.84
between two variables? B) -0.02? C) -0.54? What is the coefficient
of determination and how do we use it?

Use the rank correlation coefficient to test for a
correlation between the two variables.
Ten trucks were ranked according to their comfort levels and their
prices.
Find the rank correlation coefficient and test the claim of
correlation between comfort and price. Use a significance level of
0.05.
rs= ?
critical values = ?

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...

Use the rank correlation coefficient to test for a
correlation between the two variables.
Ten luxury cars were ranked according to their comfort levels and
their prices.
Make: A B C D E F G H I J K
Comfort: 5 8 9 10 4 3 2 1 7 6
Price: 1 7 3 5 4 2 10 9 6 8
Find the rank correlation coefficient and test the claim of
correlation between comfort and price. Use a significance level...

Determine whether each pair of variables is likely to have a
positive correlation, a negative correlation, or no correlation.
Number of calories consumed and amount of weight gained: Years of
heavy smoking and life expectancy: Suppose that a statistical study
shows that the correlation between two variables, X and Y, is r =
0.01. What can you say about the relationship between X and Y?

Compare and Contrast positive and negative correlation. What do
positive and negative correlations say about the relationship
between two variables?

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 57 seconds ago

asked 7 minutes ago

asked 10 minutes ago

asked 10 minutes ago

asked 12 minutes ago

asked 19 minutes ago

asked 20 minutes ago

asked 25 minutes ago

asked 25 minutes ago

asked 32 minutes ago

asked 32 minutes ago

asked 34 minutes ago