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Data valuesįor each row, the number in the "stem" (the middle column) represents the first digit (or digits) of the sample values. The value for a row below the median represents the total count for that row and all the rows below it.
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The count for a row above the median represents the total count for that row and all the rows above it. The values for rows above and below the median are cumulative. The count for the row that contains the median value is enclosed in parentheses.
#FINDING OUTLIERS IN EVIEWS 10 MOD#
Here’s an example based on the mod linear model object we’d just created.Examine the following elements to learn more about your sample data.Ĭounts and median The counts are in the first column on the left. The function outlierTest from car package gives the most extreme observation based on the given model.
#FINDING OUTLIERS IN EVIEWS 10 HOW TO#
It is left to the best judgement of the investigator to decide whether treating outliers is necessary and how to go about it. However, it is essential to understand their impact on your predictive models. Treating or altering the outlier/extreme values in genuine observations is not a standard operating procedure. Outliers in data can distort predictions and affect the accuracy, if you don’t detect and handle them appropriately especially in regression models.