COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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X1, Y1 X2, Y2. Which type of regression is this?
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Linear Regression
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Logistic Regression
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Polynomial Regression
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Stepwise Regression
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Explanation:
Detailed explanation-1: -We could use the equation to predict weight if we knew an individual’s height. In this example, if an individual was 70 inches tall, we would predict his weight to be: Weight = 80 + 2 x (70) = 220 lbs. In this simple linear regression, we are examining the impact of one independent variable on the outcome.
Detailed explanation-2: -Linear regression relates two variables with a straight line; nonlinear regression relates the variables using a curve.
Detailed explanation-3: -Xi is the independent variable (predictor). •
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