Examples of using The regression in English and their translations into Slovak
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Official/political
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Computer
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Programming
The regression model calculates salary values on the position level,
by using the FDIST function, that the regression equation is useful in predicting the assessed value of office buildings in this area.
dependent variable is continuous, and nature of the regression line is linear.
You may select a file where the log content is stored, before the regression testing is started.
See the proposal for the“rescue” of the regression theorem, which is related to this article, in Pošvanc, M.
This pathology is generated based on not undergone the regression of the corpus luteum,
catagen, the regression phase; telogen, the resting phase;
In contrast, Linear regression is used when the dependent variable is continuous and nature of the regression line is linear.
blocking of cancer processes in the body, the regression of tumor growth.
plotting residuals- you can use the regression analysis tool in the Analysis ToolPak Add-in.
is essential at least to reduce the regression of the agricultural activities.
removes any redundant X columns from the regression model when it identifies them.
enter into the dataset for the Regression Model.
Note that the y-values predicted by the regression equation may not be valid if they are outside the range of the y-values you used to determine the equation.
She wrote to me,"The grounds of this estate are exactly what I saw in the regression.".
nonlinear data, you can use worksheet functions or the regression analysis tool in the Analysis ToolPak Add-in.
you can use worksheet functions or the regression analysis tool in the Analysis ToolPak Add-in.
The Regression analysis tool performs linear regression analysis by using the“least squares” method to fit a line through a set of observations.