Search results
Results from the WOW.Com Content Network
Data patterns, or trends, occur when the information gathered tends to increase or decrease over time or is influenced by changes in an external factor. Linear trend estimation essentially creates a straight line on a graph of data that models the general direction that the data is heading.
If the trend can be assumed to be linear, trend analysis can be undertaken within a formal regression analysis, as described in Trend estimation. If the trends have other shapes than linear, trend testing can be done by non-parametric methods, e.g. Mann-Kendall test, which is a version of Kendall rank correlation coefficient.
It is also known as Page's trend test or Page's L test. It is a repeated measure trend test. The Page test is useful where: there are three or more conditions, a number of subjects (or other randomly sampled entities) are all observed in each of them, and; we predict that the observations will have a particular order.
Sheryl Connelly is the head of Ford's Global Trends and Futuring Division, where she separates trend from fad and helps the auto maker determine what global changes will influence the market in ...
The indicator is a highly-effective technical tool used to evaluate the strength of the current trend and to determine if an established trend will continue or reverse.
The trend-cycle component can just be referred to as the "trend" component, even though it may contain cyclical behavior. [3] For example, a seasonal decomposition of time series by Loess (STL) [ 4 ] plot decomposes a time series into seasonal, trend and irregular components using loess and plots the components separately, whereby the cyclical ...
The Cochran–Armitage test for trend, [1] [2] named for William Cochran and Peter Armitage, is used in categorical data analysis when the aim is to assess for the presence of an association between a variable with two categories and an ordinal variable with k categories.
Previously when assessing a dataset before running a linear regression, the possibility of outliers would be assessed using histograms and scatterplots.