simple linear regression model造句

A simple linear regression model is fit to this data.
While it can be pretty easy to interpret simple linear regression models, the most powerful algorithms like neural networks, Support Vector Machine are similar to black boxes, which provide predictions that can't be easily interpreted.
In other words, a simple linear regression model might, for example, predict that a given randomly sampled person in Seattle would have an average yearly income $ 10, 000 higher than a similar person in Mobile, Alabama.
One of the first developments in simultaneous inference, it was devised by Working and Hotelling for the simple linear regression model in 1929 . It provides a confidence region for multiple mean responses, that is, it gives the upper and lower bounds of more than one value of a dependent variable at several levels of the independent variables at a certain confidence level.
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