The page was retrieved from the browser history by using the Back or Forward button. The value is interesting, because it is quite undocumented. In tests, it seems to only emerge with the Firefox browser, when the page goes through a client-side refresh, either using window.
Normal distribution of residuals Equal variance of residuals Linearity — we draw a scatter plot of residuals and y values.
Independence — we worry about this when we have longitudinal dataset. Longitudinal dataset is one where we collect observations from the same entity over time, for instance stock price data — here we collect price info on the same stock i. We generally have two types of data: Cross -sectional datasets are those where we collect data on entities only once.
In cross sectional datasets we do not need to worry about Independence assumption. If the residuals are not skewed, that means that the assumption is satisfied. Even though is slightly skewed, but it is not hugely deviated from being a normal distribution.
We can say that this distribution satisfies the normality assumption. We look at the scatter plot which we drew for linearity see above — i. If the residuals do not fan out in a triangular fashion that means that the equal variance assumption is met.
In the above picture both linearity and equal variance assumptions are met. It is linear because we do not see any curve in there. Linearity assumption is violated — there is a curve.
In the picture above both linearity and equal variance assumptions are violated.Page Timings Distribution Report Avg. Document Interactive Time. This is the real hidden gem in Google Analytics site speed reports.
I think it’s so important that it should be part of the site speed overview report and not nearly hidden like it is now. Expressly designed for use in a business context, Business Chemistry draws upon the latest analytics technologies to reveal four scientifically based patterns of behavior.
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