Linear Regression

In this topic, we will go through several scatter diagrams. We will explore the benefits of drawing scatter diagrams from the given data. In addition, we can easily approximate the data via scatter diagrams.

This topic describes the correlation which can be determined by regression. We will also discuss the range in which it lies. Furthermore, we will go through some illustrative examples to learn how to find the correlation related to the given data.

In this topic, we will deal with the term called regression. We will get information about the regression function and regression line. Moreover, we will discuss the graphs related to regression of given data.

In this topic, we will learn the method of approximating data with least error. This method is known as the method of least squares. Furthermore, we will read about the best fitting curve via a diagram.

In this topic, we will learn the importance of making the line of regression from the regression function. We will also discuss how to draw it. Moreover, we will deal with some properties of line of regression.

This topic covers the alternate form of regression equation. It also explains the regression coefficients and gives formulas to find them. In addition, we will learn how to solve these equations to approximate the given data.

In this topic, we will read about the deviation taken from the assumed mean. We will further discuss why it is important to measure the deviation of the given data. Furthermore, it gives some examples related to deviation.

This topic highlights the properties of regression coefficients. It explains their geometric mean. Furthermore, it informs us that one of the coefficients is greater than one and other is less than one.

In this topic, we will learn how to find the angle between two regression lines. We will also read about the slopes of different regression lines. Moreover, we will explore some examples on these angles.