Art of Stat: Regression 4+

Name: Art of Stat: Regression
Rating: 4.7 (14 reviews)
Author: Bernhard Klingenberg

Bernhard Klingenberg

Разработано для iPad

- 4,7 • Оценок: 14

- Бесплатно
- Включает встроенные покупки

Описание

The Linear Regression app creates scatterplots, fits simple linear, logistic or exponential regression models, and conducts inference for model parameters (standard errors, confidence intervals, P-values).

The app computes confidence intervals for the mean response and prediction intervals for a future response. The fitted model and the intervals are visualized on the scatterplot, and you can obtain and plot raw and standardized residuals.

You can color points on the scatterplot according to a third quantitative or categorical variable to reveal additional patterns.

New: For data entry, you can enter your own data via the new Data Editor app, import a CSV file, or choose from several pre-loaded example datasets.

New: Fit a multiple linear regression model with both quantitative and categorical predictors. The app

- creates a Scatterplot Matrix to study pairwise relationships

- clearly displays the fitted regression equation, including dummy variables

- presents a table with all regression coefficients

- obtains summary statistics such has R^2-adjusted

- gives fitted values and (standardized) residuals (which you can download)

- lets you make predictions for your own values of the explanatory variables

- constructs a residual plot to check assumptions and for outliers

19 апр. 2023 г.

Версия 1.5.0

- Multiple Linear Regression
- Quantitative and Categorical Predictors
- Data Editor
- Scatterplot Matrix

4,7 из 5

Оценок: 14

Easy to use interface

This is a very comprehensive app with important output well organized in tables and great plots. Easy to make a screenshot and share with others. This is so much better than having to use R.

Excellent app, and simple to use!

Only request is that the developer adds feature that lets iPad version display in portrait mode (like most of the other Art of Stat apps do)

Nice and easy

Easy to fit regression model and focus on interpreting the output. Lots of plots and features. Take a screenshot and share.

Разработчик Bernhard Klingenberg указал, что в соответствии с политикой конфиденциальности приложения данные могут обрабатываться так, как описано ниже. Подробные сведения доступны в политике конфиденциальности разработчика.