Examples of using The regression in English and their translations into Indonesian
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The regression result is.
Entered in the regression.
The regression model is linear in parameters.
Estimated residuals from the regression.
To begin the regression analysis, follow these steps.
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Catagen is the regression phase, and telogen is the resting phase of the hair.
Give a 99% confidence interval for the slope of the regression line.
The regression had such a profound effect on Captain Snow that he became obsessed with trying to determine whether it was authentic.
Variations due to the regression variable.
But say the regression shows that, while everyone liked the speaker, this did not contribute much to attendees' satisfaction with the conference.
In general, the data are scattered around the regression line.
However, we can observe the regression of human abilities, such as the regression of the abilities of a six-month-old infant to those of a nine-month-old infant.
Do not despair for the lack of spiritual progress or the regression that seems evident each time you watch the news.
If the tolerance value is close to 1, and the VIF is around 1 to 10, therefore it can beconcluded that there is no multicollinearity between the independent variables in the regression model(Santoso, 2000).
Table 1: Trends in °C/decade of the signal components due to MEI,AOD and TSI in the regression of global temperature, for each of the five temperature records from 1979 to 2010.
In network traffic forecasting the regression line becomes a benchmark in understanding data behavior, taken from the average historical data that is limited by the maximum and minimum data limits around the average.
And in there, I'm now going to put all the countries of the world, each one represented by a dot,and on top of that I'm going to put the regression line that shows the average relationship.
The"y" is the value we are trying to forecast,the"b" is the slope of the regression line, the"x" is the value of our independent value, and the"a" represents the y-intercept.
These bearers of the oppressive instincts that thirst for reprisal, the descendants of every kind of European and non-European slavery,and especially of the entire pre-Aryan populace-they represent the regression of mankind!
SimpleTest supports mock objects and can be used to automate the regression testing of web applications with a scriptable HTTP Client that can parse HTML pages and simulate things like clicking on links and submitting forms.".
R-squared for this model is 0.143, which means that the variance of the regression model's errors is 14.3% less than the variance of the mean model's errors, i.e., the model has“explained” 14.3% of the variance in X1.
The regression testing describes any kind of software testing, which tries to identify bugs, that are contained in either the running or even the non-functional regions of a method after making modifications for example configuration and patch changes.
Actually many other analyticalmethods that can to measure the relationship between variables, but the regression analysis focuses on the relationship between the dependent variable(dependent variable) with independent variable(independent variable).
The regression testing refers to any type of software testing, which attempts to identify bugs, which are present in either the functional or the non-functional areas of a system subsequent to making modifications such as configuration and patch changes.
If the whole data set(including future data)is used to calculate the regression coefficients, and thus retroactively applied to a trading strategy for optimisation purposes, then future data is being incorporated and a look-ahead bias exists.
However, in the regression process problems can be found such as relationships between more complex variables that can be overcome by new techniques other than the U-Shape distribution, for example by eliminating outliers or end points from the distribution.
Having identified the regression line, and assuming that the relationship based on the past data will continue, future values of the dependent variable(forecasts) can be inferred from the straight line based on the past data.