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 teacher’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 the previous modules, you’ve learned about independent and dependent variables and how these variables are related. You also learned about scatter plots that can help you better understand statistical data. Furthermore, you calculated correlation coefficient and analyzed existing relationships between variables.
This module will introduce you to concepts about regression analysis and the regression line. Also, you will master calculating the slope and y-intercept of the regression line as well as using the computed values to create a regression equation. Later, you will interpret the calculated slope and y intercept of the regression line.
After going through this module, you are expected to:
1. identify the slope and y-intercept from the equation of the regression line;
2. calculate the slope and y-intercept of the regression line; and
3. formulate the equation of the regression line.
Before you proceed to the lesson, make sure to answer first the questions in the next page (What I Know).