To study the effect of age, height and weight on the PFT values, simple and multiple regression
models were applied.
Descriptive statistics for each variable and findings from the multiple regression
analysis of science achievement test scores are summarized in Table 1.
Running a multiple regression
in Excel using the Regression analysis tool follows the same procedure as required for a simple, one-variable regression.
A simple answer to this question is the different assumptions between the univariate and multiple regression
Results: The results showed that the Conditional Autoregressive model yield more reliable results as compared to the multiple regression
model having lower value of Akaike Information Criterion i.
Step 4 Conduct a multiple regression
analysis with X and M predicting
ERIC Descriptors: Foreign Countries; Preservice Teachers; Student Attitudes; Computer Attitudes; Educational Technology; Teacher Surveys; Predictor Variables; Gender Differences; Multiple Regression
Analysis; Computer Use; Internet; Ownership; Access to Computers; Demography; Student Characteristics
The relationship between a dependent variable in the multiple regression
model and a set of independent variables are analyzed simultaneously.
When planning a multiple regression
analysis, it is important to obtain a sample size that is large enough to provide an acceptably narrow confidence interval for important population parameters such as the squared multiple correlation, denoted here as [[rho].
Key words: Rainfall Monsoon Prediction Multiple regression
and Goodness of fit test.
In the statistical evaluation of the data; i) Pearson correlation coefficients between the linear body measurements were estimated, ii) multiple linear regression model was used for live weight prediction, iii) use of the scores from factor and principal component analyses as independent variables in multiple regression
analysis model was employed with the purpose to predict live weight (LW).
ERIC Descriptors: College Students; Comprehensive School Health Education; Program Effectiveness; Multiple Regression
Analysis; Norms; Factor Analysis; Advocacy; Pretests Posttests; Public Schools; High Schools
One of the most effective methods to remove the problem is to use factor analysis scores for multiple regression
analysis in different species as reported by many authors (Keskin et al.
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.
models incorporated satellite estimates and geographic predictor variables to capture background and regional pollutant variation, and deterministic gradients were used to capture local-scale variation.