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suppose a bicycle manufacturer wants to predict y, a rider's comfort on a bike, from arm length, leg length, and overall height. because of the proportionality in the human body, we should expect that a regression model based on these three independent variables will be characterized by

Sagot :

We should expect that a regression model based on these three independent variables will be characterized by multicollinearity.

What is regression model?

An explanation of the relation between one or even more independent variables as well as a response, dependent, or target variable is provided by a regression model. For instance, a linear regression model may be used to explain the link between height and weight.

Forecasting, time series modeling, and determining the causal connection between variables are the three basic applications of regression model.

To learn more about regression model

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