The efficacy of two kinds of cognitive-behavioral therapy (CBT) in relation to a clinical population were compared. The therapies differed on the dimension of how wedded they were to the rational-emotive behavioral therapy (REBT), a subtype of CBT that emphasizes a directive, confrontational approach to encourage a patient to recognize the irrationality of specific thought patterns. Forty adolescents at an inpatient clinic for treatment of self-destructive behaviors were randomly divided into two groups of equal size, one of which received the less challenging type of CBT (Treatment A) and one of which received the more challenging kind of CBT (Treatment B). All patients were treated by trained therapists in one-on-one sessions for 1.5 hours per day (broken down into 45-minute sessions) for six weeks. All participants were apprised that they were part of a study, all participants signed consent forms, and all were told they would be informed of the results at its conclusion; participants exhibiting any behaviors that required critical intervention were promptly treated outside the plan of the study. Outcome data on the Revised Behavior Problem Checklist (RBPC)-PAR Edition* collected at the conclusion of six weeks as shown below (also found in the Data Set Scenario 3 Excel file). Treatment A Treatment B 74 80 50 82 70 49 60 44 30 60 37 65 34 77 40 45 39 51 70 70 19 53 43 16 25 38 15 44 20 29 55 51 48 54 42 46 60 18 27 61

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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.