Examples of using Regression analysis in English and their translations into Indonesian
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The regression analysis shows much the same thing.
Students are able to apply regression analysis and time series.
Regression analysis produces two types of statistics.
Tolerance is defined as T= 1- R² for these first step regression analysis.
Using regression analysis, the researchers sought to calculate the.
People also translate
The method used in this study are multiple regression analysis using Eviews 9.
Regression analysis is used primarily for the purpose of prediction.
In the study it was used a regression analysis with panel data, unbalanced.
Using regression analysis, Kasan estimated that import tariff revision by India will impact significantly on CPO import volume from Indonesia.
Some of the most commonly used include regression analysis, linear programming, factor analysis and data mining.
But Regression analysis deals with the dependence of one variable on other variables, it does not necessarily imply causation.
A company manager or business economist could use regression analysis to estimate the effect of advertising expenses on the company's profits.
Regression analysis has been criticized as being misused for these purposes in many cases where the appropriate assumptions cannot be verified to hold.
Had I instead spent that hour each day learning thelatest techniques for mastering the problems of autocorrelation in regression analysis, I would have badly misspent my life.
Economists have used regression analysis to estimate the effect of education and experience on workers' annual earnings.
So the researchers sought to control for other factors like gender, race, age, education, political leaningand even personal feelings about Clinton and Trump using multiple regression analysis.
From Elo ratings to regression analysis, a basic grasp of maths is essential if you want to make money from soccer betting.
So the researchers sought to control for other factors such as gender, race, age, education, politicalleaning and even personal feelings about Clinton and Trump using multiple regression analysis, a method to measure the relative impact of multiple independent variables.
Many modern firms also use regression analysis to measure market demand to adjust prices and to decide upon the optimal quantities of output to be supplied.
So the researchers sought to control for other factors such as gender, race, age, education, political leaningand even personal feelings about Clinton and Trump using multiple regression analysis, a method to measure the relative impact of multiple independent variables.
Many modern firms also utilize regression analysis to measure market demand in order to adjust price and decide on the optimal quantity of output to be supplied.
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).
For example, a regression analysis could be performed to establish a statistical relationship between the hedged item(eg a transaction in Brazilian coffee) and the hedging instrument(eg a transaction in Colombian coffee).
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.
Using the two-stage least square(2SLS) method and moderated regression analysis(MRA), this study aims to investigate family companies in carrying out strategic earnings management activities by avoiding activities that reduce the value of the company's long-term.
Last but not least is predictiveanalytics where application of techniques like statistical analysis, regression analysis, correlation analysis, cluster analysis, social media analytics etc., are applied for new product development.
Similarly, not all classical assumptiontest shall be performed on linear regression analysis, such as multicollinearity test cannot be used in simple linear regression analysis and autocorrelation test should not be imposed on cross sectional data.
Subsequent work by other geographers includes a quantitative sampling approach to agricultural regionalization,the application of multiple correlation and regression analysis to rural farm population densities in the Great Plains, and the statistical association of cash grain farming in the Middle West with landforms.
Statistical analysis methods used in inferential statistics are T-test, ANOVA,Anacova, regression analysis, path analysis, Structural equation modeling(SEM) and other analysis methods depending on the purpose of research.