. Pearson correlation Coefficient and comment on your answer. b. Spearsman Correlation Co-efficient and comment on your answer
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 4 The frequency distribution for the population density( persons per square mile) for the U.S. states is as follows:
|
POPULATION DENSITY |
NUMBER OF YEARS |
|
0- under 100 |
27 |
|
100- under 200 |
11 |
|
200- under 300 |
4 |
|
300- under 400 |
1 |
|
400- under 500 |
2 |
|
500- under 600 |
1 |
|
600- under 700 |
4 |
You are required to calculate:
a. Pearson
b. Spearsman Correlation Co-efficient and comment on your answer.
c. Give three (3) reasons for the differences in your answer in (a) and (b).
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