Use the given data set to complete parts (a) through (c) below. (Use a=0.05.) 10 13 8.75 9.13 8 8.14 9 8.78 Click here to view a table of critical values for the correlation coefficient. The linear correlation coefficient is r= (Round to three decimal places as needed.) 11 9.25 14 8.09 6 6.13 OA. The scatterplot reveals a distinct pattern that is a straight-line pattern with positive slope OB. The scatterplot reveals a distinct pattern that is a straight-line pattern with negative slope 4 3.11 OA. There is sufficient evidence to support the claim of a linear correlation between the two variables. OB. There is insufficient evidence to support the claim of a linear correlation between the two variables. OC. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables OD. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables. c. Identify the feature of the data that would be missed if part (b) was completed without constructing the scatterplot. Choose the correct answer below. 12 9.12 7 7.26 Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answe below. 5 4.74
Use the given data set to complete parts (a) through (c) below. (Use a=0.05.) 10 13 8.75 9.13 8 8.14 9 8.78 Click here to view a table of critical values for the correlation coefficient. The linear correlation coefficient is r= (Round to three decimal places as needed.) 11 9.25 14 8.09 6 6.13 OA. The scatterplot reveals a distinct pattern that is a straight-line pattern with positive slope OB. The scatterplot reveals a distinct pattern that is a straight-line pattern with negative slope 4 3.11 OA. There is sufficient evidence to support the claim of a linear correlation between the two variables. OB. There is insufficient evidence to support the claim of a linear correlation between the two variables. OC. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables OD. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables. c. Identify the feature of the data that would be missed if part (b) was completed without constructing the scatterplot. Choose the correct answer below. 12 9.12 7 7.26 Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answe below. 5 4.74
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 8E
Related questions
Question
Question 31
![Use the given data set to complete parts (a) through (c) below. (Use α=0.05.)
13
8.75
9
8.78
X
y
OA.
F4
Click here to view a table of critical values for the correlation coefficient.
10
Ay
8-
6
4-
2-
04
10
9.13
0
00000
4
8 12 16
8
8.14
F5
O B.
Ay
10+
8-
F6
6-
4.
2-
F7
*******
12 16
F8
5
2
11
9.25
OA. There is sufficient evidence to support the claim of a linear correlation between the two variables.
OB. There is insufficient evidence to support the claim of a linear correlation between the two variables.
F9
DELL
14
8.09
***
F10
+!!!!
O C.
Ay
10-
8-
6
4-
F11
2-
0+
9
HOM
a
8
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 correlation coefficient is r=
(Round to three decimal places as needed.).
6
6.13
12 16
F12
Q
4
3.11
Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer
below.
PrtScr
(191)
12
9.12
OD.
Ay
10
Insert
8-
6-
4-
24
0-
0
.......
8
Delete
12 16
7
7.26
Q
Q
G
PgUp
5
4.74
Next
PgDn
C
Home](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fffc517a8-8d25-4dba-b5b9-bbe3039266d7%2F1814dfe4-c097-4e2a-a817-f079787adf35%2Fcnahvu_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Use the given data set to complete parts (a) through (c) below. (Use α=0.05.)
13
8.75
9
8.78
X
y
OA.
F4
Click here to view a table of critical values for the correlation coefficient.
10
Ay
8-
6
4-
2-
04
10
9.13
0
00000
4
8 12 16
8
8.14
F5
O B.
Ay
10+
8-
F6
6-
4.
2-
F7
*******
12 16
F8
5
2
11
9.25
OA. There is sufficient evidence to support the claim of a linear correlation between the two variables.
OB. There is insufficient evidence to support the claim of a linear correlation between the two variables.
F9
DELL
14
8.09
***
F10
+!!!!
O C.
Ay
10-
8-
6
4-
F11
2-
0+
9
HOM
a
8
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 correlation coefficient is r=
(Round to three decimal places as needed.).
6
6.13
12 16
F12
Q
4
3.11
Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer
below.
PrtScr
(191)
12
9.12
OD.
Ay
10
Insert
8-
6-
4-
24
0-
0
.......
8
Delete
12 16
7
7.26
Q
Q
G
PgUp
5
4.74
Next
PgDn
C
Home
![Use the given data set to complete parts (a) through (c) below. (Use a=0.05.)
10
13
8.75
9
8.78
9.13
Click here to view a table of critical values for the correlation coefficient.
X
y
The linear correlation coefficient is r=
(Round to three decimal places as needed.).
F4
144
$
8
8.14
OA. The scatterplot reveals a distinct pattern that is a straight-line pattern with positive slope.
OB. The scatterplot reveals a distinct pattern that is a straight-line pattern with negative slope.
OC. The scatterplot does not reveal a distinct pattern
OD. The scatterplot reveals a distinct pattern that is not a straight-line pattern.
F5
► 11
OA. There is sufficient evidence to support the claim of a linear correlation between the two variables.
OB. There is insufficient evidence to support the claim of a linear correlation between the two variables.
OC. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables.
OD. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables.
c. Identify the feature of the data that would be missed if part (b) was completed without constructing the scatterplot. Choose the correct answer below.
%
Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer
below.
F6
A
F7
F8
&
11
9.25
10
F9
0
*
DELL
F10
14
8.09
(
F11
"
)
6
6.13
F12
Q
-
4
3.11
PrtScr
ag
+
12
9.12
Insert
Delete
7
7.26
Backspace
PgUp
5
4.74
Num
Lock
0
Next
PgDn
C
Home
*
End](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fffc517a8-8d25-4dba-b5b9-bbe3039266d7%2F1814dfe4-c097-4e2a-a817-f079787adf35%2F5hnm9md_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Use the given data set to complete parts (a) through (c) below. (Use a=0.05.)
10
13
8.75
9
8.78
9.13
Click here to view a table of critical values for the correlation coefficient.
X
y
The linear correlation coefficient is r=
(Round to three decimal places as needed.).
F4
144
$
8
8.14
OA. The scatterplot reveals a distinct pattern that is a straight-line pattern with positive slope.
OB. The scatterplot reveals a distinct pattern that is a straight-line pattern with negative slope.
OC. The scatterplot does not reveal a distinct pattern
OD. The scatterplot reveals a distinct pattern that is not a straight-line pattern.
F5
► 11
OA. There is sufficient evidence to support the claim of a linear correlation between the two variables.
OB. There is insufficient evidence to support the claim of a linear correlation between the two variables.
OC. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables.
OD. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables.
c. Identify the feature of the data that would be missed if part (b) was completed without constructing the scatterplot. Choose the correct answer below.
%
Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer
below.
F6
A
F7
F8
&
11
9.25
10
F9
0
*
DELL
F10
14
8.09
(
F11
"
)
6
6.13
F12
Q
-
4
3.11
PrtScr
ag
+
12
9.12
Insert
Delete
7
7.26
Backspace
PgUp
5
4.74
Num
Lock
0
Next
PgDn
C
Home
*
End
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