a. Compute the Pearson correlation between the Rater A and Rater B attractiveness ratings. What is the obtained r value? p. Is your obtained r statistically significant (using a =.05, two tailed)? E Are the Rater A and Rater B scores "reliable"? Is there good or poor agreement %3D
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.
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12.
How Call v.
13. Suppose that two raters (Rater A and Rater B) each assign pirysica attractiveness scO
= not at all attractive to 10 = extremely attractive) to a set of seven facial photogranhe
21
%3D
Pearson's r can be used as an index of interrater reliability or agreement on
quantitative
ratings. A correlation of +1 would indicate perfect rank-order agreement between rate
while an r of 0 would indicate no agreement about judgments of relative attractiveness
An r of .8 to .9 is considered desirable when reliability is assessed. For this example, Rater
A's score is the X variable and Rater B's score is the Y variable. The ratings are as followe
F
follows:
Photo
Rater A
Rater B
1
3.
5.
8.
6.
7.
8.
6.
4.
6.
10
6.
7.
5.
4.
a. Compute the Pearson correlation between the Rater A and Rater B attractiveness
ratings. What is the obtained r value?
b. Is your obtained r statistically significant (using a =.05, two tailed)?
Are the Rater A and Rater B scores "reliable"? Is there good or poor agreement
C.
between raters?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1493244c-6334-4644-b469-95a8bb0e2e20%2Fed2a2e72-8bb9-4aec-b8cd-8fc114584a39%2Fdp2b3d9_processed.jpeg&w=3840&q=75)
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