# Regression Sentence Examples | Use Regression in a sentence

1.comparing variable selection methods for microarray classification models based on logistic **Regression**.

2.it is shown that the results of linear **Regression** analysis are highly consistent with that of input-output method.

3.on power system load forecasting conducted a study and put forward an improved algorithm for fuzzy **Regression** analysis.

4.these forecast results were compared with those of **Regression** models.

5.for linear support vector ordinal **Regression** machines, some theoretical aspects are studied in this paper.

6.the data deletion model and the mean drift model are equivalent in a general linear **Regression** model.

7.the relationship of clinical variables to the cirrhosis-related prognosis was investigated using univariate and multivariate **Regression** models.

8.that is, the **Regression** line would tend to overestimate the magnitudes of y.

9.selection of weighting and use of a complex **Regression** equation should be justified.

10.in this paper, the smallest risk estimators of **Regression** coefficient in the linear model are investigated.

11.this is all the same as we saw in the **Regression** model.

12.we establish the combined **Regression**-time-series model for chinese inflation and compare its forecast results to that of **Regression** model.

13.after test artifacts have been documented in the **Regression** library during the knowledge management phase, they are ready to be automated.

14.**Regression** testing reveals any differences that may have been introduced into the application since the last build.

15.this also will provide for **Regression** testing.

16.analyses were adjusted for confounding variables using logistic **Regression**.

17.associations between these variables and perinatal mental disorders were explored through univariate analyses and multivariable logistic **Regression**.

18.this paper gives weighted least squares estimate and the method to choose optimum weighted function for linear **Regression** model.

19.if a new **Regression** bug is found, it is often easy to detect which change is likely to have caused it.

20.the method and application of excel in the data processing of linear **Regression** equation

21.least squares **Regression** with nine model selection techniques, including stepwise **Regression**.

22.these years also witness something of a **Regression**, after leaving behind the simple certitudes of university.

23.some are based on **Regression** analysis of significant data bases.

24.the least square approach is applied to get **Regression** curves and a design plan is proposed on the basis of the **Regression** curves.

25.with **Regression** analysis, a mathematics model of both simple linear and multiple linear **Regression**s were established.

26.predictors were explored through univariable analyses and multivariable linear and logistic **Regression**.

27.it's actually quite easy to put our data through the **Regression** model using the weka api, far easier than actually loading the data.

28.**Regression** testing is used to determine the correctness and quality of the product.

29.in this lecture we introduce the multiple **Regression**.

30.the use of **Regression** to make quantitative predictions of one variable from the values of another.

31.the three variables in extroversion, caution and opening go into **Regression** equation.

32.the team used logistic **Regression** analysis to test the influence of the season ( spring) in the results.

33.this execution also offers automated software unit and **Regression** testing for improved quality of code.

34.correlation analysis and hierarchical **Regression** analysis to conduct the study.

35.with the building of the whole **Regression** economic model of the boat market and shipping market, we got the relationship between factors.

36.a robust estimation method of the components of quasi-additive model using local linear **Regression** and marginal integration is studied.

37.it was an important evolution and marked the end of transgression and **Regression** cycle of the cambrian and ordovician in tarim area.

38.the model used multiple stepwise **Regression** method and back propagation method independently.

39.we identified predictors for completion through multivariate logistic **Regression**.

40.backward logistic **Regression** analysis identified independent correlates and significant interactions.

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