For non-linear relationships, correlations can give correct results. Group of answer choices, jmultiple choice: never, as this is not meaningful this is not answerable sometimes, since non-linearity can reduce to linearity always, as correlations are independent of linearity

For non-linear relationships, correlations can give correct results. Group of answer choices, jmultiple choice: never, as this is not meaningful this is not answerable sometimes, since non-linearity can reduce to linearity always, as correlations are independent of linearity

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.4: Scatter Plots And Line Of Fit

Problem 1GP

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Concept explainers

Inference in AI

The inference is finding a conclusion or result based on any data, events, and any information. Usually, there will be a set of conditions and the conclusion is made, which satisfies all the given conditions are true. The conclusion is made according to the inference rules. Any artificial intelligence agent or an intelligent system uses the inference engine to find a better result or output. The work of the inference engine is to analyze the fact and figures based on all circumstances. After the analysis, the machine concludes this fact and gives it to the agent. The agent uses this conclusion for further processing and decision-making. Intelligent systems will generate new logic from existing ones based on the facts.

Question

For non-linear relationships, correlations can give correct results.

Group of answer choices, jmultiple choice:

never, as this is not meaningful

this is not answerable

sometimes, since non-linearity can reduce to linearity

always, as correlations are independent of linearity

Definition Definition Relationship between two independent variables. A correlation tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

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Step 1: Navigating the Intersection of Correlations and Non-linear Relationships

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Step 2: Navigating the Utility of Correlations in Non-linear Relationships

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Step 3: Explaining other Options

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