Related Experiment Video
Updated: Aug 24, 2026

Measurement of Greenhouse Gas Flux from Agricultural Soils Using Static Chambers
Published on: August 3, 2014
Autocorrelation and univariate time series modelling for grass fluoride and airborne fluoride concentrations
1School of Mathematics & Statistics, Newcastle Polytechnic, Newcastle upon Tyne NE1 8ST, Great Britain.
Abstract:
The dependence of observed fluoride levels-grass, gaseous air and particulate air-on previous levels was investigated in the field situation. Autocorrelation was found in grass fluoride observations, and to a lesser extent was present in both gaseous and particulate airborne fluorides. Univariate time series models were obtained which accounted for 56-66% of total variation in grass fluoride, 31% in gaseous airborne and 26% in particulate airborne fluorides. The large amount of variation unexplained by the models was thought to be due to the influence of environmental and meteorological factors not included in the models, and random variation due to day-to-day and plot-to-plot variation.
Related Concept Videos
Linear Approximations
Regression Analysis
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
Atomic Fluorescence Spectroscopy
Drug Concentration Versus Time Correlation
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the lowest drug...
Pharmacodynamic Models: Linear Concentration–Effect Model
Correlation and Regression

