Extrapolating is the process whereby you take your model built on an observed dataset and apply it to non-observed data (e.g. for estimating future outcomes). For example, you might have modeled a relationship between historical sales and growth in workforce. You could then extrapolate this model to predict what your future sales might be with a theoretical increase in workforce.
Extrapolating from the answer to how may grains in a pound of rice, 29,000, (elsewhere in Answers.com) we get something like 64,000 grains in a kilogram (@ 2.2 lbs / kg). This could vary based on the kind of rice.
By the geometric definition of a line, it is represented by two points, and all points on the line are collinear, between or extrapolating to infinity from the straight line made by the two points. In other words, a line is straight, and can be represented by a binomial function (example: y=2x+1). A parabola is a function, but cannot be described mathematically as a line.
Back-end estimation is a mathematical technique used primarily in project management and software development to predict the final outcome or total effort required by assessing the remaining tasks or work. It involves analyzing the completion of past phases or sprints and extrapolating that data to estimate the remaining work, often using historical performance metrics. This approach helps teams make informed decisions about timelines and resource allocation, ensuring more efficient project execution.
A model describes known data by identifying patterns, relationships, and trends within the data using statistical or machine learning techniques. By learning from these patterns, the model can make predictions about future data by extrapolating from the established relationships. This involves using the model's parameters, derived from the training data, to generate outputs for new, unseen inputs. Ultimately, the model aims to minimize prediction errors and improve accuracy over time.
If you're estimating a point OUTSIDE the data range, it's extrapolating. If you're estimating a point WITHIN the data range, it's interpolating.
Deductive reasoning
You can use charts to do that, such as a line chart. You can also use tools like a Forecast Sheet. There are many other functions that can be of use, depending on what you need to do. Functions like TREND and FORECAST can be useful.
A. SOUTH has written: 'EXTRAPOLATING FROM INDIVIDUAL MOVEMENT BEHAVIOR TO POPULATION SPACING PATTERNS IN A RANGING MAMMAL'
You can't. It would be like extrapolating a marathon time from a mile time.
By observing how much decays in a few days, or in a year, and extrapolating.
Extrapolating from the name, I presume this is an 80mg formulation of a trimethiprim-potentiated sulfa drug. This class of drug consists of antibiotics used to treat routine bacterial infections.
Extrapolating is the process whereby you take your model built on an observed dataset and apply it to non-observed data (e.g. for estimating future outcomes). For example, you might have modeled a relationship between historical sales and growth in workforce. You could then extrapolate this model to predict what your future sales might be with a theoretical increase in workforce.
standard normal is for a lot of data, a t distribution is more appropriate for smaller samples, extrapolating to a larger set.
The Omniform software is used for extrapolating the data exported from a data drive. The purpose of this software is to fragment the data in a way that is presentable to another programmer to continue working off of.
Extrapolating from the NYC Comptrollers Office report that the volume of Madison Square Garden is 400,000 cubic yards.
The volume of gases decreases with temperature; extrapolating the volume/temperature relationship, it looked as if all gases would reach a volume of zero at approximately the same temperature, about minus 273 degrees centigrade.