Pearson Regression
In the case of an app for the medical profession it might be domain expertise in biology or pharmacology.
There are few, if any, applications that don't require some form of cross-disciplinary knowledge in order to implement useful functionality for a user. In the case of an app for the medical profession it might be domain expertise in biology or pharmacology. A paint manufacturer or a crop science business might rely on apps with an intimate knowledge of chemistry. And, a payroll application will certainly incorporate HR and accounting concepts. Regardless of the industry segment an app is developed for one cross domain expertise in common with them all is mathematics. As an application…
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Core features · 12
- User can see an input panel with two input fields allowing entry of x
- User can enter numbers into these boxes where x and y are observations
- User can click the 'Add' button to add the x and y to a tabular
- User can see and error message if either of the two input fields are
- User can see the 'Calculate' button is disabled until errors have been
- User can click the 'Calculate' button to perform the regression analysis
- User can see results of the calculation which include:
- Arithmetic means for both the x and y observations
- Standard deviations for both the x and y observations
- Pearson correlation coefficient with one of the following interpretations:
- No correlation
- Some correlation
Once it works
- User can see a scatter plot of the observations
- User can upload observations from a file on the local machine.
- User can see a regression line overlaying the scatter plot