Table 2 summarized the result of the study on the relationship between anxiety and depression. Table 2: The summary of correlational analysis of depression and anxiety Correlations Depression Anxiety Pearson Correlation Depression .282 1.00 Anxiety .282 1.00 Sig (2-tailed) Depression Anxiety .003 .003 Depression 112 112 Anxiety 112 112 A) State the null hypothesis for this study. B) You can reject Ho based on sig. value but the value of tis a weak one. How can you explain that? C) How do you conclude this result? D) Based on this position, write the likely regression equation. E) Write down statistics representation of the correlation in APA format.
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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