Examples of using Multiple regression analysis in English and their translations into Swedish
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The analysis of data was made through a hierarchical multiple regression analysis.
A multiple regression analysis showed a significant link between life satisfaction-
To explore the relationship between variables, hierarchical multiple regression analysis was also performed.
The study has been done with multiple regression analysis and checked for multicollinearity,
All the collected data was analyzed by a correlation analysis and a multiple regression analysis.
Furthermore, a multiple regression analysis is applied to investigate the relationship between the gender
standard multiple regression analysis, and independent t-test.
The multiple regression analysis shows a significant positive correlation between the amount of CSR disclosures
The secondary data was analyzed by descriptive statistics and multiple regression analysis in SPSS.
economic which builds on multiple regression analysis using lagged vacancy rate, economic.
a bivariate and a multiple regression analysis.
A multiple regression analysis of four influential macroeconomic variables 2011 Independent thesis Basic level(degree of Bachelor), 10 poäng/ 15 hpOppgave Abstract en.
the condition to perform a multiple regression analysis broke.
The calculations of the prices and the independent variables were made with a multiple regression analysis where the independent variables have a function to explain the dependent variable,
The purpose and its related issues have been studied through a quantitative method and the hypotheses has been tested with a multiple regression analysis.
Self-Esteem could be measured, the multiple regression analysis showed that only the Agency component contributed significantly to Self-Esteem.
A hierarchical multiple regression analysis showed that pain at the last dental appointment
to study the influence of explanatory variables on runup a multiple regression analysis has been applied.
Descriptive analysis of means and a multiple regression analysis for adjusted means of HADS, were used in order to estimate the prevalence of anxiety
all of which are based on multiple regression analysis of data from KIGS explain 30 to 70% of the variability in growth response,
The results of multiple regression analysis showed that the value dimensions(self-transcendence
Through a correlation analysis and a multiple regression analysis, we found no statistical correlation between earnings management
Further, multiple regression analysis of data from large populations of patients can provide important information about those populations, but their significance for
Multiple regression analyses showed that low levels of agreeableness
Two hierarchical multiple regression analyses were conducted, with stress as the outcome variable,
Data was analyzed through qualitative content analysis and with multiple linear regression analysis.
To analyze the collected data, descriptive statistics were compiled and a multiple linear regression analysis was performed.
is studied through a multiple linear regression analysis.
A multiple linear regression analysis in the study indicated that 16% of personality can be explained by motivation.
then proceeded with a multiple linear regression analysis.