Question

The identification of a relationship using

multiplication and the prediction of the value of one

quantity based on the value of another.

Answer 1

Utilizing multiplication to find relationships and predicting that value of one  "Linear regression" is a quantity derived from the value of another.

Define the term Linear regression?

The relationship in between magnitude of one parameter and that of a second is modeled by simple linear regression.

• For instance, as X rises, Y also increases. or Y declines as X rises. 1
• Regression defines the nature of the link, whereas correlation evaluates the strength of such a linking between two variables.

• Simple linear regression calculates the precise amount by which Y will alter when X alters by a specific amount.
• The variables X and Y remain interchangeable with the correlation coefficient. Regression uses a linear relationship, or a line, to try and predict any Y variable from the X variable:Y = b 0 + b 1 X.

Thus, finding correlations via multiplication and assuming that the value of one "Linear regression" is a number obtained as from value of another

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