Question

If
the correlation between two variables is close to 0, you can
conclude that a scatterplot would show

(a) a strong straight-line pattern.

(b) a cloud of points with no visible pattern.

(c) no strainght-line pattern but there might be a strong
pattern of another form.

Answer #1

**Answer:**

**c) no straight-line pattern, but there might be a strong
pattern of another form.**

**because,**

**all data points with no visible pattern or a strong
straight-line pattern of any another form (positive or negative
pattern ) so, it is include the two cases which is no
straight-line pattern, but there might be a strong pattern of
another form and (b ) is not correct because it not included
the another case i.e there might be a strong pattern of another
form. So the (c ) option is correct.**

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

Use a scatterplot and the linear correlation coefficient r to
determine whether there is a correlation between the two variables.
Use alphaequals0.05. x 2 4 7 1 6 y 5 8 12 3 11 Click here to view a
table of critical values for the correlation coefficient.
LOADING... Does the given scatterplot suggest that there is a
linear correlation? A. Yes, because the data does not follow a
straight line. B. No, because the data follows a straight line. C....

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...

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?

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...

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....

If you find a Pearson's correlation of zero between two
continuous variables, this means:
A. There is no relationship between the two variables
B. There is a strong relationship between the two variables
C. There may be a non-linear relationship between the two
variables
D. Two of these answers are correct

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...

Using the data given below, calculate the linear correlation
between the two variables x and y.
X
0
3
3
1
4
y
1
7
2
5
5
(a)
.794
(b)
.878
(c)
.497
(d) .543
Refer to question 4. Assume you are using a 0.05 level of
significance; is there a
significant
relationship between the two variables x and y?
Yes
(b) no
The heights (in inches) and pulse rates (in beats per minutes)
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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...

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