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Art of Stat: Regression

Art of Stat: Regression 電腦版

4.2Version: 1.7.0

Art of Stat

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用GameLoop模拟器在電腦上玩Art of Stat: Regression

Art of Stat: Regression 電腦版

來自發行商 Art of Stat 的 Art of Stat: Regression 能夠在安卓系統上運行。

現在,您可以在電腦上使用 GameLoop 模擬器流暢地玩 Art of Stat: Regression。

在 GameLoop 遊戲庫或搜索結果中下載。 不需要再暢玩遊戲時盯著電池電量或被令人懊惱的來電打斷。

只需在電腦大屏幕上免費下載暢玩Art of Stat: Regression 電腦版!

Art of Stat: Regression 簡介

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

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預覽

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教育

訊息

  • 開發商

    Art of Stat

  • 最新版本

    1.7.0

  • 更新時間

    2023-11-23

  • 類別

    教育

  • 同時可用

    Google Play

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如何在電腦上用 GameLoop 玩 Art of Stat: Regression

1. 從官網下載GameLoop,然後運行exe文件安裝GameLoop

2. 打開GameLoop,搜索“Art of Stat: Regression”,在搜索結果中找到Art of Stat: Regression,點擊“安裝”

3. 享受在 GameLoop 上玩 Art of Stat: Regression 的樂趣

Art of Stat: Regression

Education
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Minimum requirements

OS

Windows 8.1 64-bit or Windows 10 64-bit

GPU

GTX 1050

CPU

i3-8300

Memory

8GB RAM

Storage

1GB available space

Recommended requirements

OS

Windows 8.1 64-bit or Windows 10 64-bit

GPU

GTX 1050

CPU

i3-9320

Memory

16GB RAM

Storage

1GB available space

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