에 의해 게시 에 의해 게시 Thomas Hanson
1. From this menu you can choose to start a new project, work on an existing project (such as data entry), or produce tables and graphs for a project.
2. To restore a project from a prior backup, select the last menu item and follow the instructions.
3. Reports include the regression variables, data frequency and residuals.
4. If you have made any data entry errors, simply go back and correct them, then click on the reports menu item again.
5. After entering the ID you can enter details associated with the project along with data.
6. This app will compute a Multiple CurviLinear Regression for a series of data points.
7. Going beyond three independent variables is extremely rare and will increase the equation complexity considerably.
8. This app allows for an infinite number of data points for each regression.
9. This is a 2nd degree equation with 5 terms and 2 independent variables.
10. This is a 2nd degree equation with 9 terms and 3 independent variables.
11. These examples serve as guides for organizing and entering data.
또는 아래 가이드를 따라 PC에서 사용하십시오. :
PC 버전 선택:
소프트웨어 설치 요구 사항:
직접 다운로드 가능합니다. 아래 다운로드 :
설치 한 에뮬레이터 애플리케이션을 열고 검색 창을 찾으십시오. 일단 찾았 으면 Multiple Curvilinear Reg 검색 막대에서 검색을 누릅니다. 클릭 Multiple Curvilinear Reg응용 프로그램 아이콘. 의 창 Multiple Curvilinear Reg Play 스토어 또는 앱 스토어의 스토어가 열리면 에뮬레이터 애플리케이션에 스토어가 표시됩니다. Install 버튼을 누르면 iPhone 또는 Android 기기 에서처럼 애플리케이션이 다운로드되기 시작합니다. 이제 우리는 모두 끝났습니다.
"모든 앱 "아이콘이 표시됩니다.
클릭하면 설치된 모든 응용 프로그램이 포함 된 페이지로 이동합니다.
당신은 아이콘을 클릭하십시오. 그것을 클릭하고 응용 프로그램 사용을 시작하십시오.
다운로드 Multiple Curvilinear Reg Mac OS의 경우 (Apple)
다운로드 | 개발자 | 리뷰 | 평점 |
---|---|---|---|
$4.99 Mac OS의 경우 | Thomas Hanson | 0 | 1 |
This app will compute a Multiple CurviLinear Regression for a series of data points. This implementation allows for three independent variables (x1, x2 and x3) which use the following equation forms: y = b(0) + b(1)x1 + b(2)x2 + b(3)x1^2 + b(4)x1x2 + b(5)x2^2 This is a 2nd degree equation with 5 terms and 2 independent variables. y = b(0) + b(1)x1 + b(2)x2 + b(3)x3 + b(4)x1^2 + b(5)x1x2 + b(6)x1x3 + b(7)x2^2 + b(8)x2x3 + b(9)x3^2 This is a 2nd degree equation with 9 terms and 3 independent variables. Going beyond three independent variables is extremely rare and will increase the equation complexity considerably. Therefore, three independent variables was set as a limitation for this app. This app allows for an infinite number of data points for each regression. Example datasets are included to help users get started quickly. These examples serve as guides for organizing and entering data. You can turn these examples off under Preferences. A main menu provides the organizational structure for this app. From this menu you can choose to start a new project, work on an existing project (such as data entry), or produce tables and graphs for a project. Menu items can also be reached from buttons on the toolbar. Each new regression is organized as a project. This organizational structure follows throughout all of the regression and ANOVA apps in the Computational Suite. New projects are created by assigning a unique ID to the project. After entering the ID you can enter details associated with the project along with data. Data can be entered manually or from a comma delimited text file. Reports include the regression variables, data frequency and residuals. If you have made any data entry errors, simply go back and correct them, then click on the reports menu item again. Both 2D and 3D graphics are available. You can test the sensitivity of the beta coefficients with the up/down arrows. For the 3D graph, use the Zoom, Yaw, Pitch and Roll controls to see the entire graph from different angles. This app is also equipped with an automatic backup system. Each time you quit the app a backup copy is generated. Up to 1000 backup copies are kept. To restore a project from a prior backup, select the last menu item and follow the instructions.
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