Примери коришћења Regression analysis на Енглеском и њихови преводи на Српски
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Okay, what is regression analysis?
This might be accomplished by curve fitting or regression analysis.
Multiple regression analysis and ANOVA(Analysis of Variance) analyses were conducted.
This may be achieved by curve fitting or regression analysis.
Regression analysis is a statistical method that examines the relationship between variables.
Click Open in Excel and perform a regression analysis.
Regression Analysis is a statistical process to estimate the relationship between two variables.
Statistical methods such as regression analysis are common.
This course begins with basic descriptive statistics and progresses to regression analysis.
A sophisticated regression analysis is blended with our thorough comparative market analysis to arrive at your home value.”.
He didn't do the thing that you need to do to do a multivariate linear regression analysis.
In regression analysis, the least absolute deviations estimate arises as the maximum likelihood estimate if the errors have a Laplace distribution.
The supervised learning network is grown layer by layer,where each layer is trained by regression analysis.
In regression analysis, Excel calculates for each point the squared difference between the y-value estimated for that point and its actual y-value.
Early methods of identifying patterns in data include Bayes' theorem(1700s) and regression analysis(1800s).
Surveyors work with elements of geometry,trigonometry, regression analysis, physics, engineering, metrology, programming languages, and the law.
Early methods of identifying patterns in data include Bayes' theorem(1700s) and regression analysis(1800s).
When you need to perform more complicated regression analysis- including calculating and plotting residuals- you can use the regression analysis tool in the Analysis ToolPak Add-in.
I've eliminated eight counties as potential locales, butthere's no way around my doing a district-by-district regression analysis.
In statistics, Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables.
In machine learning, support-vector machines(SVMs,also support-vector networks[1]) are supervised learning models with associated learning algorithms that analyze data for classification and regression analysis.
To extend complex and nonlinear data,you can use worksheet functions or the regression analysis tool in the Analysis ToolPak Add-in.
Regression analysis measures the strength of a relationship between a variable you try to explain(e.g. overall customer satisfaction) and one or more explaining variables(e.g. satisfaction with product quality and price).
Application of functional statistical methods in geography(correlation coefficient, regression analysis, factor and cluster analysis, trend analysis); 9-11.
Moreover, a moderated regression analysis revealed that individuals who reported high subjective craving and showed positive implicit associations of pornographic pictures with positive emotions, particularly tended towards cybersex addiction.
Application of functional statistical methods in geography(correlation coefficient, regression analysis, factor and cluster analysis, trend analysis); 9-11.
These inferences may take the form of: answering yes/no questions about the data(hypothesis testing), estimating numerical characteristics of the data(estimation), describing associations within the data(correlation) and modeling relationships within the data(for example,using regression analysis).
Galton's contributions included introducing the concepts of standard deviation,correlation, regression analysis and the application of these methods to the study of the variety of human characteristics-height, weight, eyelash length among others.
The study framework, which came to be called the Collier-Hoeffler Model, examined 78 five-year increments when civil war occurred from 1960 to 1999, as well as 1,167 five-year increments of no civil war for comparison, andsubjected the data set to regression analysis to see the effect of various factors.
In this course you will get the tools to measure the effectiveness of brand and customer assets,interpret regression analysis, calculate customer lifetime value, and design experiments as a way to evaluate and optimize marketing campaigns.