Question

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

Answer #1

Answer : (c) Strong and negative.

A coefficient of correlation of -0.9 indicates the relationship between the two variables is strong and negative.

Note :

If r > 0, the correlation is positive and if r < 0, the correlation is negative.

If r =0 we say the variables are uncorrelated.

Larger the numerical value of r, moreci close is the extent of relationship between the variables.

In general for Irl > 0.8, we consider high correlation.

If Irl is between 0.3 to 0.8, we say that correlation is considerable.

If IrI< 0.3, we say that correlation is negligible.

If r =1, we say there is perfect positive correlation whereas

if r = -1, we say that there is perfect negative correlation.

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

A correlation coefficient of - .09 between variables X and Y
would be interpreted as indicating ______ between the
variables.
a. weak-positive?
b. strong positive?
c. weak negative?
d.strong negative?

Examining two variables, suppose that you calculate the
correlation coefficient to be equal to 0.14. How would you best
describe this correlation?
A. Weak positive correlation
B. Strong negative correlation
C. Strong positive correlation
D. Weak negative correlation

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...

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...

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)...

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...

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...

37. A correlation coefficient of r = -0.98
between two quantitative variables A and B indicates that
A. As A increases, B tends to increase.
B. Changes in A cause changes in B.
C. As A increases, B tends to decrease.
D. There is a very weak association between A and B, and change in
A will not affect B.
Please show work using excel functions!

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 11 minutes ago

asked 14 minutes ago

asked 25 minutes ago

asked 26 minutes ago

asked 26 minutes ago

asked 29 minutes ago

asked 54 minutes ago

asked 59 minutes ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago