Examples of using Multiple regression in English and their translations into Swedish
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We have used a multiple regression and estimates parameters with OLS.
A regression using multiple variables is called a multiple regression.
Sure, we could try multiple regressions with varying physical
Collected data was analyzed with a standard linear multiple regression and independent t-test.
Apply simple and multiple regression techniques to estimate parameters of economic models and interpret them.
People also translate
The study examines the effect of the requirement using an equilibrium model and a multiple regression with relevant data as a basis.
The multiple regression process utilizes commonly employed statistical measures to test the.
both in the simple and the multiple regressions.
All our analyses- paired t-tests and multiple regressions- have been made using the statistical program SPSS.
Multiple regression with resilience as dependent variable
The sample consists of 465 public European companies for which data were analyzed by multiple regression analyzes in the IBM SPSS statistics program.
With a multiple regression our results confirm the impact on GDP per capita, with our explanatory variables.
the sample has been analyzed in multiple regression using Excel
neither in the simple or the multiple regressions.
To analyze the collected data a correlation analysis and multiple regression to explore a relationship between the different variables was used.
A multiple regression analysis of four influential macroeconomic variables 2011 Independent thesis Basic level(degree of Bachelor), 10 poäng/ 15 hpOppgave Abstract en.
As an empirical model, we will use a multiple regression to identify possible statistical relationships between our dependent variable wages
A multiple regression is used as an empirical model to obtain any statistical correlation between real GDP per capita in working age(dependent variable)
Data were analyzed by three multiple regression analyzes which showed that personality accounted for 4-8% of the variance in the three factors of job satisfaction.
Multiple regression and pooled group analyses evaluating the influence of treatment duration
Which builds on multiple regression analysis using lagged vacancy rate,
Furthermore single and multiple regression models showed significant associations between the energy adjusted intake of whole grains from wheat