A statistical procedure for predicting the values of a dependent variable based on one or more independent variables is called:

Appeared in: AIIMS Raipur lecturer 2021

Explanation

Regression analysis is a predictive modeling technique used to investigate the relationship between a dependent variable and one or more independent variables.
Its primary purpose is to establish a functional relationship to forecast or predict the value of the dependent variable (Y) based on the values of the independent variable(s) (X).
For example, it can be used to predict a patient's blood pressure (dependent variable) based on factors like age, weight, and salt intake (independent variables).

Option A: ANOVA (Analysis of Variance) is used to compare the means of three or more different groups to determine if there is a statistically significant difference between them.
Option B: The Chi-square test is used to analyze categorical data to see if there is a significant association between two variables.
Option C: A correlation coefficient measures the strength and direction (positive or negative) of the linear relationship between two variables. It does not provide a model for prediction.

Clinical Relevance

Nursing practice connection: This is primarily an exam-oriented knowledge point with limited direct bedside application, so retain Statistical methods for prediction as background academic context rather than a clinical decision trigger.
In nursing research, regression analysis is crucial for identifying risk factors and predicting patient outcomes. For instance, researchers can use it to determine which factors (e.g., age, smoking status, BMI) are significant predictors of developing heart disease.
Nurses can use the findings from regression studies to inform evidence-based practice, such as targeting high-risk patients for preventative interventions.
What if? If the goal was not to predict a specific value but simply to see if a relationship exists between two continuous variables (like hours of sleep and level of fatigue), then calculating a correlation coefficient would be the more appropriate statistical procedure.

How to Approach the Question

First, identify the key action word in the question stem, which is 'predicting'.
Next, review the definitions of the statistical terms provided in the options.
ANOVA is for comparing means of multiple groups.
Chi-square is for testing association between categorical variables.
Correlation measures the strength of a relationship.
Regression analysis is specifically designed for prediction.

Concept Tested & Keywords

Concept Tested: Statistical methods for prediction
Stem keywords: statistical procedure, predicting, dependent variable, independent variables
Lead-in keywords: is called

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