COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Replace points on a scatter diagram by a straight-line
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Obtain the expected value of the independent random variable for a given value of the dependent variable
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Predict one variable from another variable
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None of the above
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Detailed explanation-1: -Linear regression analysis is used to predict the value of a variable based on the value of another variable. The variable you want to predict is called the dependent variable. The variable you are using to predict the other variable’s value is called the independent variable.
Detailed explanation-2: -Simple linear regression is used to estimate the relationship between two quantitative variables. You can use simple linear regression when you want to know: How strong the relationship is between two variables (e.g., the relationship between rainfall and soil erosion).
Detailed explanation-3: -Using the linear regression analysis we can estimate the value of one variable using another variable.
Detailed explanation-4: -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.
Detailed explanation-5: -In simple linear regression, we predict scores on one variable from the scores on a second variable. The variable we are predicting is called the criterion variable and is referred to as Y. The variable we are basing our predictions on is called the predictor variable and is referred to as X.