This Self-Learning Module (SLM) is prepared so that you, our dear learners, can continue your studies and learn while at home. Activities, questions, directions, exercises, and discussions are carefully stated for you to understand each lesson.

Each SLM is composed of different parts. Each part shall guide you step-by-step as you discover and understand the lesson prepared for you.

Pre-tests are provided to measure your prior knowledge on lessons in each SLM. This will tell you if you need to proceed on completing this module or if you need to ask your facilitator or your teacherâ€™s assistance for better understanding of the lesson. At the end of each module, you need to answer the post-test to self-check your learning. Answer keys are provided for each activity and test. We trust that you will be honest in using these.

Please use this module with care. Do not put unnecessary marks on any part of this SLM. Use a separate sheet of paper in answering the exercises and tests. And read the instructions carefully before performing each task.

In previous modules, you became familiar with the equation of the regression line. Your knowledge about the regression line, its equation, slope, and y-intercept will aid you in learning the content of this module.

This module will help you learn how to formulate predictions about dependent variables based on independent variables. Also, you will learn to apply previous learnings you gained about the nature of variables. Furthermore, this module gives you an opportunity to link and unify concepts learned about regression analysis and utilize these in the prediction and estimation of values based on the equation of a regression line. In time, you will be able to utilize your knowledge and skills in analysis and solving of regression analysis problems.

After going through this module, you are expected to:

1. explain the use of the regression equation in predicting the value of the dependent variable;

2. estimate the value of dependent variable from the value of the independent variable; and

3. reflect on the importance of making predictions in decision-making.

Before you proceed to the lesson, make sure to answer first the questions in the next page (What I Know).

## Statistics and Probability Quarter 4 Self-Learning Module: Predicting the Value of Dependent Variable Given the Value of Independent Variable

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