## Description

**Simple Linear Regression **

is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students.

This lecture discusses **simple linear regression **models that use a single numerical independent variable, *X*, to predict the numerical dependent variable, *Y*. In this lecture, you will learn **regression analysis **techniques that help uncover relationships between variables. regression analysis leads to selection of a **model **that expresses how one or more **independent variables **can be used to predict the value of another variable, called the **dependent variable**. regression models identify the type of mathematical relationship that exists between a dependent variable and an independent variable, thereby enabling you to quantify the effect that a change in the independent variable has on the dependent variable. Models also help you identify unusual values that may be outliers

**Learning objectives:**

- How to use regression analysis to predict the value of a dependent variable based on a value of an independent variable
- The meaning of the regression coefficients b0 and b1
- How to evaluate the assumptions of regression analysis and know what to do if the assumptions are violated
- To make inferences about the slope and correlation coefficient
- To estimate mean values and predict individual values

**In this File you will find:**

**Simple Linear Regression **Lecture Power Point Presentation

Test Bank for **Simple Linear Regression **with 213 Questions with all answers to them

86 Exercises for **Simple Linear Regression seminar or lecture**

Plus reading resource on **Simple Linear Regression** in order to enhance you overall knowledge about the topic.

**Once you will purchase this resource please leave a comment!**

**All resources are compressed in zip file.**

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