Examples of using Linear regression in English and their translations into Slovak
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Colloquial
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Financial
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Official/political
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Computer
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Programming
Multiple and Linear Regression.
Linear regression has correlation coefficient of 0.84.
Example 3- Multiple Linear Regression.
Linear regression is the simplest form of regression. .
We will approach linear regression first.
What we have been looking at is something called linear regression.
Using the linear regression formula Ct*=.
We initially conducted a linear regression.
I plotted the linear regression and 95% confidence interval as well.
Modern finance is built on linear regression.
Simple linear regression is the most basic form of linear regression. .
This is a classic linear regression problem.
In the previous post, we learnt about Simple Linear regression.
The simple linear regression model is the simplest form of regression model.
Reported trends are based on linear regression.
Slope of the linear regression line through the data points in A3:A9 and B3:B9.
The red line is based on the linear regression.
Two-dimensional linear regression of statistical data is done by the method of least squares.
Fitted lines are based on linear regression models.
The data were collected via a questionnaire and analyzed using a stepwise multiple linear regression.
Data were analyzed with linear regression analyses.
We can run this very easily in a simple linear regression.
The researcher used a linear regression model to test whether there was a relationship.
Almost all econometrics is based on linear regression.
Data were analyzed with a linear regression model.
In this video we're going to look at something called linear regression.
Logistic regression is based on linear regression.
Forecast will be produced using the folloeing linear regression formula: Ct*=.
At the end we decided to use exponential smoothing and linear regression analysis.