APPLICATION OF SUPERVISED LEARNING
LINEAR REGRESSION
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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If you graphed height as the explanatory variable and weight as the response variable, what would happen to the LSRL and r if you had accidently graphed the weight as the explanatory variable and the height as the response variable?
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LSRL would be different and r would be different
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LSRL would be different and r would stay the same
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LSRL would stay the same and r would be different
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LSRL would stay the same and r would stay the same
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Explanation:
Detailed explanation-1: -Assumption 1: Linearity-The relationship between height and weight must be linear. The scatterplot shows that, in general, as height increases, weight increases.
Detailed explanation-2: -To determine the height of a person when his weight is given, we can formulate it as a regression problem. A regression analysis gives the relation between the variables.
There is 1 question to complete.