Search results
Explore math with our beautiful, free online graphing calculator. Graph functions, plot points, visualize algebraic equations, add sliders, animate graphs, and more.
8 paź 2024 · From the model, you can explore the statistics, the correlation coefficient r (for linear regressions) or coefficient of determination R^2 (for nonlinear regressions), and plot the residuals (the vertical distance between your data points and the model).
Below is the linear regression model for table. You can use the parameters to create the line of best fit. You can use the statistics to make conjectures.
Linear regression is a fundamental tool for understanding and predicting relationships between variables. Through this activity, we will demystify the concept of linear regression and showcase how the least squares method plays a crucial role in finding the line of best fit.
Regressions. Nonlinear Regressions. Unrepresentable Regression Parameters. What is RMSE? Why am I seeing a negative R^2 value?
Student knowledge of linear equations in slope-intercept form is assumed. Students use their equation to calculate the profit based upon various advertising budgets and vice versa. Finally, students learn the definition of the regression line of best fit and how to compute it using Desmos.
This introductory lesson asks students to determine the price they should pay for their "dream" house. Their predictions will improve as we add data about houses that have recently sold. We will demonstrate how to create a model using DESMOS and how to use the model to predict the value of the house.
