6. The following table shows how a sample of men and women rank ten different TV shows. TV Show: A B D E F G H J Men 1 2 3 4 5 7 8 9. 10 Women 10 1 9 2 8 3 7 4 6 5 (a). Determine whether a significant degree of rank correlation exists, using a = 0.10 as the desired level of significance using the non-parametric method of the Spearman's rank correlation test. (b). Clearly state your conclusion to the test. CO
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.
![6. The following table shows how a sample of men and women rank ten different TV shows.
TV Show:
А В
C D E
F
G
H
I J
Men
1
2
3
4
6
7
8
9
10
Women
10
1 9 2 8 3 7 4 6 5
(a). Determine whether a significant degree of rank correlation exists, using a = 0.10 as the
desired level of significance using the non-parametric method of the Spearman's rank
correlation test.
(b). Clearly state your conclusion to the test.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F72595cb0-9bd6-4c42-87c1-c318b2ae2c3f%2F47ef9bb3-fd44-42df-b683-f7b51b1ef80c%2F99s5r6u_processed.jpeg&w=3840&q=75)
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