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  2. Coefficient of determination - Wikipedia

    en.wikipedia.org/wiki/Coefficient_of_determination

    Ordinary least squares regression of Okun's law.Since the regression line does not miss any of the points by very much, the R 2 of the regression is relatively high.. In statistics, the coefficient of determination, denoted R 2 or r 2 and pronounced "R squared", is the proportion of the variation in the dependent variable that is predictable from the independent variable(s).

  3. Coefficient of multiple correlation - Wikipedia

    en.wikipedia.org/wiki/Coefficient_of_multiple...

    The coefficient of multiple correlation is known as the square root of the coefficient of determination, but under the particular assumptions that an intercept is included and that the best possible linear predictors are used, whereas the coefficient of determination is defined for more general cases, including those of nonlinear prediction and those in which the predicted values have not been ...

  4. Numeric precision in Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Numeric_precision_in...

    Excel's storage of numbers in binary format also affects its accuracy. [3] To illustrate, the lower figure tabulates the simple addition 1 + x − 1 for several values of x. All the values of x begin at the 15 th decimal, so Excel must take them into account. Before calculating the sum 1 + x, Excel first approximates x as a binary number

  5. Regression validation - Wikipedia

    en.wikipedia.org/wiki/Regression_validation

    If, for example, the out-of-sample mean squared error, also known as the mean squared prediction error, is substantially higher than the in-sample mean square error, this is a sign of deficiency in the model. A development in medical statistics is the use of out-of-sample cross validation techniques in meta-analysis.

  6. Talk:Coefficient of determination - Wikipedia

    en.wikipedia.org/wiki/Talk:Coefficient_of...

    Who says R-squared should be greater than zero? For example if measured y-values are between 9 and 10, and model prediction is always zero, then R-squared is heavily negative.Kokkokanta 07:50, 28 January 2007 (UTC) >> Go back and look at the definition. For one thing, all the sums are of squared differences. Moreover, SSE<=SST by construction.

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  8. “What’s The Most Frugal Thing You Do?” (50 Answers) - AOL

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    Spending wisely sometimes means investing a little more upfront for something that lasts longer or delivers better results. #4. I cut open all my product containers and use every last drop. It's ...

  9. ‘No one should have to be fighting cancer and insurance at ...

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    Instead of being able to calmly focus on her chemotherapy treatment, Arete Tsoukalas had to spend hours on the phone arguing with her insurer while receiving infusions in the hospital. Diagnosed ...

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