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Linear Regression Analysis: Predicting Blood Pressure Based on Age

This guide walks you through performing a linear regression analysis to explore the relationship between age and blood pressure (BP). First, load the dataset containing blood pressure readings and age data. Then, select the linear regression option from the task list. Choose BP as the dependent variable and AGE as the explanatory variable before running the regression. Discover how age exhibits a linear relationship with blood pressure, enabling predictions and insights relevant to health assessments.

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Linear Regression Analysis: Predicting Blood Pressure Based on Age

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Presentation Transcript

    1. Open the dataset asc_bleed Linear regression example

    2. Select Linear from Regression on the Task List

    3. Select BP as the Dependent variable, AGE as the Explanatory variable, and Run

    4. AGE has a linear relation with BP

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