APPLICATION OF SUPERVISED LEARNING
LINEAR REGRESSION
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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A linear regression (LR) analysis produces the equation Y = 3 + 0.4X. This indicates that:
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When Y = 0.4, X = 3
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When Y = 0, X = 3
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When X = 3, Y = 0.4
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When X = 0, Y = 3
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Explanation:
Detailed explanation-1: -A linear regression equation describes the relationship between the independent variables (IVs) and the dependent variable (DV). It can also predict new values of the DV for the IV values you specify.
Detailed explanation-2: -The Regression Coefficient is also called as a slope coefficient because it determines the slope of the line i.e. the change in the independent variable for the unit change in the independent variable.
Detailed explanation-3: -b0: Called the y-intercept, this is where the line would cross (or intercept) the y-axis (in other words, this is the predicted value of y when x = 0).
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