Objective This study aimed to assess the coronavirus disease 2019 (COVID-19) hospitalisation costs and its associated factors on Nepalese households during the second wave of the pandemic, within the ...

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

In traditional models like linear regression and ANOVA, assumptions such as linearity, independence of errors, homoscedasticity, and normality of residuals are foundational.

Linear regression works on several assumptions that serve as guidelines for its capabilities. In many cases, you can recognize model assumption violations easily by applying various plots and ...

Key Points Trend analysis is a method of using data to spot patterns for the sake of forecasting future events. There are ...

Key Points Normality refers to how your data fits into a normal distribution. You can find out if your data is uniform by ...

Learn how to graph linear regression in Excel. Use these steps to analyze the linear relationship between an independent and a dependent variable.

Linear regression analyzes two separate variables in order to define a single relationship. In chart analysis, this refers to the variables of price and time.