Art of Stat: Regression

Developer: Bernhard Klingenberg

Category: Education

~1K - 2K

20 ratings

~800 (installs week)

Trend Steady

ASO Keyword Dashboard

Tracking 66 keywords for Art of Stat: Regression in Apple App Store

Developer: Bernhard Klingenberg Category: education Rating: 4.65

Art of Stat: Regression tracks 66 keywords (no keywords rank yet; 66 need traction). Key metrics: opportunity 50.2, difficulty 38.1.

Tracked keywords

0 ranked • 66 not ranking yet

Top 10 coverage

—

Best rank — • Latest leader —

Avg opportunity

50.2

Top keyword: new

Avg difficulty

38.1

Lower scores indicate easier wins

Opportunity leaders

new

Opportunity: 59.0 • Difficulty: 63.9 • Rank —

Competitors: 2,341
91.1
way

Opportunity: 59.0 • Difficulty: 60.3 • Rank —

Competitors: 1,067
83.0
choose

Opportunity: 59.0 • Difficulty: 60.7 • Rank —

Competitors: 1,081
83.5
even

Opportunity: 59.0 • Difficulty: 60.4 • Rank —

Competitors: 1,114
83.4
art

Opportunity: 58.0 • Difficulty: 46.7 • Rank —

Competitors: 202
68.6

Unranked opportunities

new

Opportunity: 59.0 • Difficulty: 63.9 • Competitors: 2,341
way

Opportunity: 59.0 • Difficulty: 60.3 • Competitors: 1,067
choose

Opportunity: 59.0 • Difficulty: 60.7 • Competitors: 1,081
even

Opportunity: 59.0 • Difficulty: 60.4 • Competitors: 1,114
art

Opportunity: 58.0 • Difficulty: 46.7 • Competitors: 202

High competition keywords

new

Total apps: 10,701 • Major competitors: 2,341

Latest rank: — • Difficulty: 63.9
choose

Total apps: 4,918 • Major competitors: 1,081

Latest rank: — • Difficulty: 60.7
even

Total apps: 4,869 • Major competitors: 1,114

Latest rank: — • Difficulty: 60.4
way

Total apps: 4,665 • Major competitors: 1,067

Latest rank: — • Difficulty: 60.3
including

Total apps: 3,880 • Major competitors: 926

Latest rank: — • Difficulty: 62.0

All tracked keywords

Includes opportunity, difficulty, rankings and competitor benchmarks

							Major Competitors
new	59	100	64	91 10,701 competing apps Median installs: 270,475 Avg rating: 4.6	—	—	2,341 major competitor apps
art	58	100	47	69 1,082 competing apps Median installs: 239,212 Avg rating: 4.6	—	—	202 major competitor apps
via	58	100	55	75 2,102 competing apps Median installs: 260,250 Avg rating: 4.6	—	—	427 major competitor apps
way	59	100	60	83 4,665 competing apps Median installs: 271,100 Avg rating: 4.6	—	—	1,067 major competitor apps
choose	59	100	61	83 4,918 competing apps Median installs: 263,588 Avg rating: 4.6	—	—	1,081 major competitor apps
multiple	58	100	54	78 2,846 competing apps Median installs: 239,425 Avg rating: 4.6	—	—	550 major competitor apps
including	58	100	62	81 3,880 competing apps Median installs: 285,400 Avg rating: 4.6	—	—	926 major competitor apps
obtain	57	100	46	52 189 competing apps Median installs: 228,775 Avg rating: 4.6	—	—	36 major competitor apps
simple	58	100	54	80 3,416 competing apps Median installs: 254,625 Avg rating: 4.6	—	—	695 major competitor apps
allows	58	100	50	75 2,119 competing apps Median installs: 225,625 Avg rating: 4.6	—	—	351 major competitor apps
color	58	100	50	72 1,554 competing apps Median installs: 252,475 Avg rating: 4.6	—	—	318 major competitor apps
check	58	100	60	78 2,949 competing apps Median installs: 263,650 Avg rating: 4.6	—	—	689 major competitor apps
enter	58	100	51	67 943 competing apps Median installs: 278,125 Avg rating: 4.6	—	—	220 major competitor apps
display	58	100	42	63 607 competing apps Median installs: 216,175 Avg rating: 4.6	—	—	101 major competitor apps
according	58	100	39	60 465 competing apps Median installs: 229,725 Avg rating: 4.6	—	—	68 major competitor apps
data	58	100	55	77 2,494 competing apps Median installs: 237,338 Avg rating: 4.6	—	—	472 major competitor apps
future	58	100	51	69 1,126 competing apps Median installs: 243,450 Avg rating: 4.6	—	—	204 major competitor apps
confidence	57	100	47	57 326 competing apps Median installs: 247,738 Avg rating: 4.7	—	—	67 major competitor apps
summary	57	100	44	49 148 competing apps Median installs: 285,338 Avg rating: 4.6	—	—	34 major competitor apps
standard	58	100	43	62 541 competing apps Median installs: 259,950 Avg rating: 4.6	—	—	114 major competitor apps
points	58	100	55	70 1,245 competing apps Median installs: 288,325 Avg rating: 4.7	—	—	308 major competitor apps
third	57	100	40	57 333 competing apps Median installs: 321,400 Avg rating: 4.6	—	—	78 major competitor apps
even	59	100	60	83 4,869 competing apps Median installs: 273,975 Avg rating: 4.6	—	—	1,114 major competitor apps
reveal	57	100	38	56 295 competing apps Median installs: 259,000 Avg rating: 4.6	—	—	59 major competitor apps
model	57	100	37	55 260 competing apps Median installs: 255,062 Avg rating: 4.6	—	—	53 major competitor apps

App Description

The Art of Stat: Regression app creates scatterplots, fits simple (and multiple) linear, logistic or exponential regression models, and displays inference for model parameters (standard errors, confidence intervals, P-values).

The app now also fits multiple linear regression models and allows including categorical predictors and two-way interactions!

New: Linear Discriminant Analysis (Beta Version)

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