Use Non-parametric tests to conclude on the following data. Conclude whether entrepreneurability among 4Ps is dependent to Entrepreneurship Program by the government. 4Ps Recipients Treatment Condition Total Low Average High Formal Training 20 10 5 35 Formal Training & Close Monitoring 30 26 14 70 Total 50 36 19 105
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.
Use Non-parametric tests to conclude on the following data.
Conclude whether entrepreneurability among 4Ps is dependent to Entrepreneurship Program by the government.
|
4Ps Recipients |
Treatment Condition |
Total |
||
|
Low |
Average |
High |
||
|
Formal Training |
20 |
10 |
5 |
35 |
|
Formal Training & Close Monitoring |
30 |
26 |
14 |
70 |
|
Total |
50 |
36 |
19 |
105 |
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