Art of Stat: Regression
ASO Keyword Dashboard
Tracking 39 keywords for Art of Stat: Regression in Apple App Store
Art of Stat: Regression tracks 39 keywords (no keywords rank yet; 39 need traction). Key metrics: opportunity 70.4, difficulty 40.4.
Tracked keywords
39
0 ranked • 39 not ranking yet
Top 10 coverage
—
Best rank — • Latest leader —
Avg opportunity
70.4
Top keyword: confidence
Avg difficulty
40.4
Lower scores indicate easier wins
Opportunity leaders
- 67.8
confidence
Opportunity: 73.0 • Difficulty: 42.9 • Rank —
Competitors: 145
- 68.6
development
Opportunity: 73.0 • Difficulty: 41.8 • Rank —
Competitors: 125
- 65.3
model
Opportunity: 73.0 • Difficulty: 40.5 • Rank —
Competitors: 108
- 63.9
editor
Opportunity: 73.0 • Difficulty: 42.7 • Rank —
Competitors: 161
- 64.6
table
Opportunity: 73.0 • Difficulty: 41.4 • Rank —
Competitors: 103
Unranked opportunities
confidence
Opportunity: 73.0 • Difficulty: 42.9 • Competitors: 145
development
Opportunity: 73.0 • Difficulty: 41.8 • Competitors: 125
model
Opportunity: 73.0 • Difficulty: 40.5 • Competitors: 108
editor
Opportunity: 73.0 • Difficulty: 42.7 • Competitors: 161
table
Opportunity: 73.0 • Difficulty: 41.4 • Competitors: 103
High competition keywords
features
Total apps: 116,039 • Major competitors: 2,106
Latest rank: — • Difficulty: 54.0
way
Total apps: 107,117 • Major competitors: 1,931
Latest rank: — • Difficulty: 53.5
data
Total apps: 86,751 • Major competitors: 1,000
Latest rank: — • Difficulty: 51.5
multiple
Total apps: 68,625 • Major competitors: 1,108
Latest rank: — • Difficulty: 50.5
check
Total apps: 65,344 • Major competitors: 1,266
Latest rank: — • Difficulty: 51.4
All tracked keywords
Includes opportunity, difficulty, rankings and competitor benchmarks
| Major Competitors | |||||||
|---|---|---|---|---|---|---|---|
| art | 71 | 100 | 46 | 73 23,923 competing apps Median installs: 550 Avg rating: 4.1 | — | — | 413 major competitor apps |
| way | 66 | 100 | 53 | 84 107,117 competing apps Median installs: 500 Avg rating: 4.1 | — | — | 1,931 major competitor apps |
| multiple | 68 | 100 | 51 | 81 68,625 competing apps Median installs: 550 Avg rating: 4.1 | — | — | 1,108 major competitor apps |
| search | 68 | 100 | 52 | 80 56,939 competing apps Median installs: 500 Avg rating: 4.1 | — | — | 968 major competitor apps |
| color | 70 | 100 | 48 | 75 31,164 competing apps Median installs: 600 Avg rating: 4.1 | — | — | 607 major competitor apps |
| original | 71 | 100 | 49 | 71 18,186 competing apps Median installs: 850 Avg rating: 4.2 | — | — | 541 major competitor apps |
| check | 68 | 100 | 51 | 81 65,344 competing apps Median installs: 602 Avg rating: 4.1 | — | — | 1,266 major competitor apps |
| display | 71 | 100 | 44 | 73 21,939 competing apps Median installs: 450 Avg rating: 3.9 | — | — | 212 major competitor apps |
| features | 66 | 100 | 54 | 85 116,039 competing apps Median installs: 550 Avg rating: 4.1 | — | — | 2,106 major competitor apps |
| data | 67 | 100 | 51 | 83 86,751 competing apps Median installs: 400 Avg rating: 4.1 | — | — | 1,000 major competitor apps |
| future | 70 | 100 | 47 | 75 31,976 competing apps Median installs: 550 Avg rating: 4.2 | — | — | 427 major competitor apps |
| confidence | 73 | 100 | 43 | 68 11,253 competing apps Median installs: 500 Avg rating: 4.3 | — | — | 145 major competitor apps |
| summary | 72 | 100 | 39 | 62 4,827 competing apps Median installs: 450 Avg rating: 4.1 | — | — | 64 major competitor apps |
| log | 71 | 100 | 46 | 73 22,651 competing apps Median installs: 450 Avg rating: 4.2 | — | — | 384 major competitor apps |
| standard | 72 | 100 | 43 | 70 15,792 competing apps Median installs: 500 Avg rating: 4.1 | — | — | 220 major competitor apps |
| development | 73 | 100 | 42 | 69 12,637 competing apps Median installs: 350 Avg rating: 4.1 | — | — | 125 major competitor apps |
| model | 73 | 100 | 40 | 65 8,019 competing apps Median installs: 450 Avg rating: 4.0 | — | — | 108 major competitor apps |
| additional | 71 | 100 | 47 | 73 24,488 competing apps Median installs: 650 Avg rating: 4.1 | — | — | 515 major competitor apps |
| response | 72 | 100 | 38 | 62 4,826 competing apps Median installs: 350 Avg rating: 4.0 | — | — | 42 major competitor apps |
| study | 71 | 100 | 44 | 72 19,579 competing apps Median installs: 450 Avg rating: 4.2 | — | — | 157 major competitor apps |
| prediction | 71 | 100 | 35 | 53 1,555 competing apps Median installs: 600 Avg rating: 4.1 | — | — | 26 major competitor apps |
| example | 72 | 100 | 37 | 61 4,346 competing apps Median installs: 350 Avg rating: 4.0 | — | — | 43 major competitor apps |
| mean | 72 | 100 | 37 | 58 3,097 competing apps Median installs: 450 Avg rating: 4.1 | — | — | 58 major competitor apps |
| csv | 72 | 100 | 36 | 59 3,406 competing apps Median installs: 547 Avg rating: 4.2 | — | — | 30 major competitor apps |
| plot | 71 | 100 | 34 | 55 1,947 competing apps Median installs: 1,050 Avg rating: 4.1 | — | — | 34 major competitor apps |
App Description
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