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  • January 29, 2019Blog

    What is a clinically significant change?

    What is a clinically significant change? A clinically significant change is a change in client performance that (a) can be shown to result from treatment…

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  • January 29, 2019Contributing

    Can a dummy variable be12?

    Can a dummy variable be12? Indeed, a dummy variable can take values either 1 or 0. It can express either a binary variable (for instance,…

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  • January 29, 2019Helpful tips

    What is the chart called?

    What is the chart called? A data chart is a type of diagram or graph, that organizes and represents a set of numerical or qualitative…

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  • January 29, 2019Miscellaneous

    Is there a calculator in PDF?

    Is there a calculator in PDF? There are 3rd party products that can add a calculator toolbar button. Many of those tools can create a…

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  • January 29, 2019Popular

    What is the significance of Kendall test?

    What is the significance of Kendall test? The Kendall rank coefficient is often used as a test statistic in a statistical hypothesis test to establish…

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  • January 29, 2019Helpful tips

    How to measure accuracy of predictive model?

    How to measure accuracy of predictive model? Predictive accuracy should be measured based on the difference between the observed values and predicted values. However, the…

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  • January 29, 2019Guidelines

    What is seasonal variation in time series analysis?

    What is seasonal variation in time series analysis? Seasonal variation is variation in a time series within one year that is repeated more or less…

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  • January 29, 2019Popular

    What is a good RMSE range?

    What is a good RMSE range? Based on a rule of thumb, it can be said that RMSE values between 0.2 and 0.5 shows that…

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  • January 29, 2019Guidelines

    Why does ridge regression help with multicollinearity?

    Why does ridge regression help with multicollinearity? Ridge Regression is a technique for analyzing multiple regression data that suffer from multicollinearity. By adding a degree…

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  • January 29, 2019Guidelines

    How do you test overfit?

    How do you test overfit? Overfitting can be identified by checking validation metrics such as accuracy and loss. The validation metrics usually increase until a…

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