Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in kg) of the seals. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the critical values of r using a = 0.01. Is there sufficient evidence to conclude that there is a linear correlation between overhead widths of seals from photographs and the weights of the seals? Overhead Width 7.1 7.6 159 9.8 9.3 8.7 8.1 Weight 112 245 198 200 180 Click here to view a table of critical values for the correlation coefficient. -... Construct a scatterplot. Choose the correct graph below. OA. OB. OC. OD. Aweight (kg) 300- Aweight (kg) 300- Aweight (kg) 300- Aweight (kg) 300- ... - ... .. 100- 7 100+ 100- 7 100- 10 10 10 10 width (cm) width (cm) width (cm) width (cm)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2AGP
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3- Hi Wonderful Bartleby Team (Thanks for all the help I do really aprecciate all you guys do)

I need help with this stats exercise, it has 4 parts so please provide the answer for all of them since each point counts in order to get full credict for it. The last part which is a sentence has the options of

-Because the​ P-value of the linear correlation coefficient is (Greater than / Less than / Equal to ) the significance​ level, there (Is / Is not) sufficient evidence to support the claim that there is a linear correlation between Internet users and scientific award winners.

The linear correlation coefficient is r=
(Round to three decimal places as needed.)
The critical values are r=
(Round to three decimal places as needed. Use
comma to separate answers as needed.)
Because the absolute value of the linear correlation coefficient is
than the positive critical value, there
V sufficient evidence to support the claim that there is a linear
correlation between overhead widths of seals from photographs and the weights of the seals for a significance level of a = 0.01.
Transcribed Image Text:The linear correlation coefficient is r= (Round to three decimal places as needed.) The critical values are r= (Round to three decimal places as needed. Use comma to separate answers as needed.) Because the absolute value of the linear correlation coefficient is than the positive critical value, there V sufficient evidence to support the claim that there is a linear correlation between overhead widths of seals from photographs and the weights of the seals for a significance level of a = 0.01.
Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in kg) of the seals. Construct a scatterplot, find the value of the linear correlation
coefficient r, and find the critical values of r using a = 0.01. Is there sufficient evidence to conclude that there is a linear correlation between overhead widths of seals from photographs
and the weights of the seals?
Overhead Width
7.1
7.6
9.8
245
9.3
8.7
8.1
Weight
112
159
198
200
180
Click here to view a table of critical values for the correlation coefficient.
-....
Construct a scatterplot. Choose the correct graph below.
OA.
OB.
OC.
OD.
OD.
Aweight (kg)
300-
Aweight (kg)
300-
Aweight (kg)
300-
Aweight (kg)
300-
... -
...
100-
7
100+
100+
7
100-
10
10
10
10
width (cm)
width (cm)
width (cm)
width (cm)
Transcribed Image Text:Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in kg) of the seals. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the critical values of r using a = 0.01. Is there sufficient evidence to conclude that there is a linear correlation between overhead widths of seals from photographs and the weights of the seals? Overhead Width 7.1 7.6 9.8 245 9.3 8.7 8.1 Weight 112 159 198 200 180 Click here to view a table of critical values for the correlation coefficient. -.... Construct a scatterplot. Choose the correct graph below. OA. OB. OC. OD. OD. Aweight (kg) 300- Aweight (kg) 300- Aweight (kg) 300- Aweight (kg) 300- ... - ... 100- 7 100+ 100+ 7 100- 10 10 10 10 width (cm) width (cm) width (cm) width (cm)
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