An extension or projection beyond the limit of the data is extrapolation.
Prediction... Foretelling... Extrapolation...
Both, interpolation and extrapolation are used to predict, or estimate, the value of one variable when the value (or values) of other variable (or variables) is known. This is done by extending evaluating the underlying function. For interpolation, the point in question is within the domain of the observed values (there are observations for greater and for smaller values of the variables) wheres for extrapolation the point in question is outside the domain.
The first step would be to determine the nature of the relationship between the variables using the graph and any other relevant informaton. The next stage would be to use regression techniques to calculate a curve of best fit to the observations. This curve may be extended beyond the data but, the further the distance from the actual observations, the greater the likely error in the extrapolation
Data formats: It is formating all data file from pcs.whatever it is not use.suppose when data is full,and some data we want to delete it.. Data collection: It is the collection of new data file.when new data is collecting..
Metadata is "data about data". There are two "metadata types;" structural metadata, about the design and specification of data structures or "data about the containers of data"; and descriptive metadata about individual instances of application data or the data content.
Interpolation is filling in the data points between the data that has already been collected. Extrapolation is filling in data points beyond the data that has already been collected, or extending the data.
its impossible.
Interpolation is a math method of estimating an answer for something when you know 2 data points, one greater and one less than the answer you are looking for. Extrapolation estimates an answer for a data point when you know data either greater than or less than the one you need, but not both.
"Extrapolation" or "forecast".
The word that you are looking for is "extrapolation".
Prediction... Foretelling... Extrapolation...
Extrapolation.
It is called extrapolation.
False. Extrapolation is most advisable for a data point between two known points.
interpolation, because we are predicting from data in the range used to create the least-squares line.
Interpolation is the process of estimating the value of some data and processing it in-line with other data obtained from another source. Extrapolation is the ability to estimate the value of something outside a known range from values within that range by assuming that the unknown quantity follows logically from an analysis of the known ones
It's called illogical extrapolation.