The next time you cover this topic, consider teaching students how to perform a simple linear regression analysis in Excel. Below is an example screenshot illustrating 12 months of cost data for a ...

The most basic regression relationship is a simple linear regression. In this case, E( Y | X ) = μ ( X ) = β 0 + β 1 X , a line with intercept β 0 and slope β 1 .

Simple linear regression is commonly used in forecasting and financial analysis—for a company to tell how a change in the GDP could affect sales, for example.

Because much economic data has cycles, multiple trends and non-linearity, simple linear regression is often inappropriate for time-series work, according to Yale University.

Building a linear regression model So far, I have explored the dataset in detail and got familiar with it. Now it is time to create the model and see if I can predict Yearly Amount Spent.

Jerome H. Klotz, UPDATING SIMPLE LINEAR REGRESSION, Statistica Sinica, Vol. 5, No. 1 (January 1995), pp. 399-403 Free online reading for over 10 million articles Save and organize content with ...

Course TopicsLinear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the ...

Simple linear regression relates two variables (X and Y) with a straight line (y = mx + b), while nonlinear regression relates the two variables in a nonlinear (curved) relationship.

In simple linear regression 1, we model how the mean of variable Y depends linearly on the value of a predictor variable X; this relationship is expressed as the conditional expectation E(Y|X ...