Linear Regression Analysis: Applications and Assumptions

The main purpose of this presentation though is to show the reader how to use linear regression models in studies that include quantitative data Specific objectives include discussing why linear regression models are used what they tell us about the relationships between two or more variables what the assumptions of the model are and how to determine if they are satisfied what to do when the assumptions are not satisfied sometimes we may still use linear regression by making some simple modifications to the model and wh at to do when the outcome variable is measured using only two categories As we shall learn linear regression models are not designed for two category outcome variables so we’ll discuss another model known as a logistic regression model which is designed for these types of variables see Chapter 13 ">The main purpose of this presentation though is to show the reader how to use linear regression models in studies that include quantitative data Specific objectives include discussing why linear regression models are used what they tell us about the relationships between two or more variables w [更多] at to do when the outcome variable is measured using only two categories As we shall learn linear regression models are not designed for two category outcome variables so we’ll discuss another model known as a logistic regression model which is designed for these types of variables see Chapter 13 ">The main purpose of this presentation though is to show the reader how to use linear regression models in studies that include quantitative data Specific objectives include discussing why linear regression models are used what they tell us about the relationships between two or more variables w [更多]