Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) 10 8 13 11 9.14 y 8.13 8.74 14 6 12 8.77 9.26 8.09 6.13 3.11 9.12 7.26 4.73 Click here to view a table of critical values for the correlation coefficient. O A. O B. Oc. OD. 10- Q AY 10- AY 10어 Q 8- 6- 10- 8- 6- 8- 8- 6- 6- 4- 2- 4- ..... ........... 4- 2- 2- ...... 4- ....... 2- 12 16 8. 12 16 12 16 0- 4 12 16 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=O (Round to three decimal places as needed.) 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. O A. There is insufficient evidence to support the claim of a linear correlation between the two variables. O B. There is sufficient evidence to support the claim of a linear correlation between the two variables. c. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables. D. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables. OD.
Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) 10 8 13 11 9.14 y 8.13 8.74 14 6 12 8.77 9.26 8.09 6.13 3.11 9.12 7.26 4.73 Click here to view a table of critical values for the correlation coefficient. O A. O B. Oc. OD. 10- Q AY 10- AY 10어 Q 8- 6- 10- 8- 6- 8- 8- 6- 6- 4- 2- 4- ..... ........... 4- 2- 2- ...... 4- ....... 2- 12 16 8. 12 16 12 16 0- 4 12 16 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=O (Round to three decimal places as needed.) 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. O A. There is insufficient evidence to support the claim of a linear correlation between the two variables. O B. There is sufficient evidence to support the claim of a linear correlation between the two variables. c. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables. D. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables. OD.
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 94E
Related questions
Concept explainers
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Question
Transcribed Image Text: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.
O A. The scatterplot reveals a distinct pattern that is a straight-line pattern with negative slope.
O B. The scatterplot reveals a distinct pattern that is a straight-line pattern with positive slope.
OC. The scatterplot reveals a distinct pattern that is not a straight-line pattern.
O D. The scatterplot does not reveal a distinct pattern.
Transcribed Image Text:Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.)
10
8
13
11
14
6
4
12
y
9.14
8.13
8.74
8.77
9.26
8.09
6.13
3.11
9.12
7.26
4.73
Click here to view a table of critical values for the correlation coefficient.
OA.
OB.
O B.
Oc.
OD.
Ay
10-
Ay
10-
Ay
10-
Ay
10-
8-
8-
8-
8-
6-
6-
6-
6-
4-
4-
4-
4-
...
2-
2-
2-
.........
2-
0-
12 16
12 16
12 16
12 16
8
4
8
4
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.)
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.
O A. There is insufficient evidence to support the claim of a linear correlation between the two variables.
O B. There is sufficient evidence to support the claim of a linear correlation between the two variables.
O C. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables.
O D. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 4 steps with 1 images
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, probability and related others by exploring similar questions and additional content below.Recommended textbooks for you
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:
9781133382119
Author:
Swokowski
Publisher:
Cengage
Holt Mcdougal Larson Pre-algebra: Student Edition…
Algebra
ISBN:
9780547587776
Author:
HOLT MCDOUGAL
Publisher:
HOLT MCDOUGAL
Glencoe Algebra 1, Student Edition, 9780079039897…
Algebra
ISBN:
9780079039897
Author:
Carter
Publisher:
McGraw Hill
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:
9781133382119
Author:
Swokowski
Publisher:
Cengage
Holt Mcdougal Larson Pre-algebra: Student Edition…
Algebra
ISBN:
9780547587776
Author:
HOLT MCDOUGAL
Publisher:
HOLT MCDOUGAL
Glencoe Algebra 1, Student Edition, 9780079039897…
Algebra
ISBN:
9780079039897
Author:
Carter
Publisher:
McGraw Hill
Elementary Algebra
Algebra
ISBN:
9780998625713
Author:
Lynn Marecek, MaryAnne Anthony-Smith
Publisher:
OpenStax - Rice University