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.**

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...

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)
for a sample of 40...

4. Use the given data set to complete parts (a) through (c)
below. (Use a=0.05.)
x
y
10
9.13
8
8.13
13
8.73
9
8.78
11
9.27
14
8.09
6
6.13
4
3.09
12
9.14
7
7.27
5
4.73
a. Construct a scatterplot
Find the linear correlation coefficient, r, then determine
whether there is sufficient evidence to support the claim of a
linear correlation between the two variables.
The linear correlation coefficient is r=_____.
(Round to three decimal places as...

Use the given data set to complete parts (a) through (c)
below. (Use
alphaαequals=0.05.)
x
1010
88
1313
99
1111
1414
66
44
1212
77
55
y
7.457.45
6.786.78
12.7412.74
7.117.11
7.817.81
8.858.85
6.096.09
5.395.39
8.148.14
6.416.41
5.735.73
LOADING...
Click here to view a table of critical values for the
correlation coefficient.
b. Find the linear correlation coefficient, r, then determine
whether there is sufficient evidence to support the claim of a
linear correlation between the two variables.
The linear...

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

If you find a strong positive correlation between poverty and
education level, can you conclude that education is a causative
factor in poverty? Why or why not?
Can you use a regression model to estimate a value for y if
there is no linear correlation?
What are 2 things you learned in the class you did not know
prior to taking it?

If you find a strong positive correlation between poverty and
education level, can you conclude that education is a causative
factor in poverty? Why or why not? Can you use a regression model
to estimate a value for y if there is no linear correlation? What
are 2 things you learned in the class you did not know prior to
taking it?

Discussion 1: Searching for Causes
This week examines how
to use correlation and simple linear regression to test the
relationship of two variables. In both of these tests you can use
the data points in a scatterplot to draw a line of best fit; the
closer to the line the points are the stronger the association
between variables. It is important to recognize, however, that even
the strongest correlation cannot prove causation.
For this Discussion,
review this week’s Learning Resources...

Use the given data set to complete parts (a) through (c)
below. (Use
alphaαequals=0.05.)
x
1010
88
1313
99
1111
1414
66
44
1212
77
55
y
7.467.46
6.766.76
12.7412.74
7.117.11
7.827.82
8.848.84
6.086.08
5.385.38
8.168.16
6.436.43
5.735.73
LOADING...
Click here to view a table of critical values for the
correlation coefficient.
a. Construct a scatterplot. Choose the correct graph below.
A.
04812160481216xy
A scatterplot has a horizontal x-scale from 0 to 16 in
increments of 2 and a vertical...

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