在 英语 中使用 The regression 的示例及其翻译为 中文
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That is, the regression analysis helps us to understand how much the dependent variable changes with a change in one or more independent variables.
Use the regression model for estimation and prediction, analyze the uncertainty in the estimate, and perform a residuals analysis to validate the model.
Suppose we believe that our data follow the regression model, and we fit the regression line to estimate the true line.
By use of confidence intervals around the regression line, it is also possible to identify years for which the MER diverges significantly from the revised PARE.
If the regression analysis is well designed, it will produce a similar result to the type of controlled study that you suggested.
To begin using the regression testing suite, you will want to install varnishtest, which is provided with the Varnish package.
Stepwise regression basically fits the regression model by adding/dropping co-variants one at a time based on a specified criterion.
In this the dependent variable is continuous and the independent variable can be discrete or continuous and the regression line is linear.
Earlier, the regression tree for hm(x) predicted the mean residual at each terminal node of the tree.
So we can use Python to confirm that the regression line minimizes the mean squared error.
If the regression line isn't perfectly flat, as is almost invariably the case, we will be observing some linear association in the scatter plot.
Treatment of one of the lymphoma sites caused the regression of both lymphoma tumors but did not affect the growth of the colon cancer cells.
Typically, the regression lines based on the bootstrap samples are closer to each other near the center of the distribution of the predictor variable.
Injecting one tumor site with the two agents caused the regression not just of the treated tumor, but also of the second, untreated tumor.
Then it comes the most important step- translate the regression algorithm into SQL.
Microsoft India has also applied the concept of Machine Learning to predict the regression rate in eye surgeries.
Once ranked, they take a very conservative approach and eliminate the bottom 30 percent of the least risky binaries from the regression test pass.
It also prints the predicted value based on the regression line through the original scatter plot.
Assuming that general trends of the past continue, an application of the regression analysis may serve as a predictor of the magnitude of support account requirements in dollar terms for the future financial periods.