In this research, trying to achieve predetermined objectives of multiple regression
and artificial neural networks, two methods are used.
Chapter 13 describes multiple regression
analysis with SPSS using a simple example.
stepwise forward analysis revealed that BMI values, fasting blood glucose, WBC count, fasting hsCRP and hemoglobin were independent factors related to total testosterone.
A multiple regression
analysis revealed no significant relationships between the predictor variables of exercise, diet, and HLOC and the dependent variable of obesity (F=.
Hierarchical multiple regression
analyses were conducted to estimate the associations of contaminant levels with go/no-go performance (mean reaction time, percent correct go, percent correct.
In 2005-2006 a survey of randomly-selected practices and health providers was conducted, with multiple regression
analysis to establish significant determinants of coverage and timeliness.
The first part of the study conducted during fall 2005 to spring 2007 semesters by D'Souza and Maheshwari (2009) developed a multiple regression
model that included four independent variables as a predictor of student performance.
Key words: intangible assets, ROA, multiple regression
, independent variables, dependent variables
Coverage progresses from graphing variables through basic statistical inference, simple linear regression, multiple regression
analysis, analysis of variance, and advanced topics such as two-way ANOVA.
For example, the article stated that "the county employed a computer program called Multiple Regression
Results from simultaneous multiple regression
analysis showed that attitudes toward mental health services contributed significantly to satisfaction with counselling.
analysis was conducted using the stepwise approach to determine the influence of human and technological encounter satisfaction on overall satisfaction.