APPLICATION OF SUPERVISED LEARNING
CLASSIFICATION IN MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Linear
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Non Linear
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Categorical
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Systematical
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Detailed explanation-1: -Simple linear regression is a statistical method that allows us to summarize and study relationships between two continuous (quantitative) variables: One variable, denoted x, is regarded as the predictor, explanatory, or independent variable.
Detailed explanation-2: -The simple regression model assumes a linear relationship, Y = + X + , between a dependent variable Y and an explanatory variable X, with the error term encompassing omitted factors.
Detailed explanation-3: -A regression is a statistical technique that relates a dependent variable to one or more independent (explanatory) variables. A regression model is able to show whether changes observed in the dependent variable are associated with changes in one or more of the explanatory variables.