AppRecs review analysis
AppRecs rating 4.4. Trustworthiness 60 out of 100. Review manipulation risk 28 out of 100. Based on a review sample analyzed.
★★★★☆
4.4
AppRecs Rating
Ratings breakdown
5 star
85%
4 star
5%
3 star
0%
2 star
10%
1 star
0%
What to know
✓
Low review manipulation risk
28% review manipulation risk
✓
High user satisfaction
85% of sampled ratings are 5 stars
About Art of Stat: Regression
News: The Regression app is now part of the all new "Art of Stat" app, which contains the Regression and seven other modules.
Please consider getting the Art of Stat app for the latest updates and features from the App Store. Simply search for "Art of Stat" on the App Store. This app will continue to work, but future development is concentrated on the new Art of Stat app.
Original Description:
The Art of Stat: Regression app creates scatterplots, fits linear, logistic, Poisson or exponential regression models, and displays inference for model parameters (standard errors, confidence intervals, P-values).
The app now also fits multiple linear and logistic regression models and allows including categorical predictors and two-way interactions!
The app computes and displays 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.
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.
Features:
- Scatterplot Matrix to study pairwise relationships
- Display the fitted regression equation on the scatterplot, even when including (and additional) categorical predictor
- Table with all regression coefficients and their inferences (P-values, confidence intervals)
- Summary statistics such has R^2, R^2-adjusted and maximized Log-Likelihood
- Fitted values and (standardized) residuals (which you can download)
- Predictions for your own values of the explanatory variables
- Residual plot to check assumptions and for outliers
Please consider getting the Art of Stat app for the latest updates and features from the App Store. Simply search for "Art of Stat" on the App Store. This app will continue to work, but future development is concentrated on the new Art of Stat app.
Original Description:
The Art of Stat: Regression app creates scatterplots, fits linear, logistic, Poisson or exponential regression models, and displays inference for model parameters (standard errors, confidence intervals, P-values).
The app now also fits multiple linear and logistic regression models and allows including categorical predictors and two-way interactions!
The app computes and displays 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.
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.
Features:
- Scatterplot Matrix to study pairwise relationships
- Display the fitted regression equation on the scatterplot, even when including (and additional) categorical predictor
- Table with all regression coefficients and their inferences (P-values, confidence intervals)
- Summary statistics such has R^2, R^2-adjusted and maximized Log-Likelihood
- Fitted values and (standardized) residuals (which you can download)
- Predictions for your own values of the explanatory variables
- Residual plot to check assumptions and for outliers
