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Predicting y for a value of x that’s outside the range of values we actually saw for x in the original data is called ___________

Predicting y for a value of x that’s outside the range of values we actually saw for x in the original data is called ___________ Correct Answer Extrapolation

Predicting y for a value of x that is within the interval of points that we saw in the original data is called interpolation. Predicting y for a value of x that’s outside the range of values we actually saw for x in the original data is called extrapolation.

Related Questions

Predicting y for a value of x that's outside the range of values we actually saw for x in the original data is called . . . . . . . .
Election was held to select the chairman of the governing council of ICC. The result of the election indicated that 25% of the people voted for Ravi and the rest voted for Sunil. Later it was discovered that the voting machine was faulty and 20% of the people whose votes were recorded in favour of Ravi had actually voted for Sunil and 50% of the people whose votes were recorded in favour of Sunil had actually voted for Ravi. If the difference between the people who actually voted for Ravi and those who actually voted for Sunil was 3,00,000, how many people actually voted for Ravi?
Which of the following statements are true?
Statement I Big data refers to no precise quantity, but generally refers to data in the range of Petabytes and Exabyte, i.e. billions to trillions of records, all from various sources. Big data is generated much faster. than traditional data in much larger quantities.
Statement II Big data interests industries because they are able to learn more patterns and curious variances than smaller data sets, with the capability to provide valuable insights into consumer behaviour, weather systems, financial market activity, or other phenomena.
Statement III Various departments and product lines use various applications within most organisations and store data in separate datasets. These separate databases may contain similar data, but data from one data base to another is not always consistent. This is called data silo.
The digitization process i.e. the digital image has M rows and N columns, requires decisions about values for M, N, and for the number, L, of max gray levels is an integer power of 2 i.e. L = 2k, allowed for each pixel. If we assume that the discrete levels are equally spaced and that they are integers then they are in the interval __________ and Sometimes the range of values spanned by the gray scale is called the ________ of an image. and static range respectively b) and dynamic range respectively c) and static range respectively d) and dynamic range respectively
What is predicting y for a value of x that is within the interval of points that we saw in the original data called?
Which of the following explain the concept of values? (A) Values are beliefs tied inextricably to human emotion and behaviour (B) Values refer to desirable goals people strive to attain (C) Values are conflict-free (D) Values are ordered by importance relative to one another (E) Values are utilized primarily to effect change in knowledge of a person Choose the correct answer from the options given below :
If printer is called xerox, xerox is called scanner, scanner is called saw, saw is called shredder and shredder is called printer. Which of the following can be used to shred papers?
If printer is called xerox, xerox is called scanner, scanner is called saw, saw is called knife and knife is called printer. Which of the following is used to cut wood?
If printer is called xerox, xerox is called scanner, scanner is called saw, saw is called knife and knife is called printer. Which of the following is used to cut fruits?
Which of the following statements are correct with the origin and development of values?
1. Values originate from human desires and interests.
2. Interaction between individuals in environment and situations originate values.
3. It is human being who originates values and protects it.
4. Attitude of an individual is based on values.