You are required to: a. Interpret the results of regression analysis. (6 Marks) b. Compose a regression equation. (2 Marks)
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.
![Q4. The objective of a research study is to find the impact of work stress, employee motivation
and team work on organizational commitment of employees in IT firms in Karachi. The
results of regression analysis are provided in Table 1:
Tablel Results of Regression Analysis
Unstandardized Coefficient: Standardized Coefficient
Model
T
Sig.
B
Std. Error
Beta
(Constant)
540
.178
3.036
.002
Work Stress (WS)
-.280
.040
-204
6.927
.000
Motivation (M)
.287
.047
308
6.076
.000
Team Work (TM)
305
.043
353
7.027
.000
R Square = .674
You are required to:
a. Interpret the results of regression analysis. (6 Marks)
b. Compose a regression equation. (2 Marks)
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