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What is a mathematical procedure that predicts the dependent variable on the basis of knowledge known about independent variables?
regression analysis
What is the role of the stochastic error term in regression analysis?
Regression analysis is based on the assumption that the dependent variable is distributed according some function of the independent variables together with independent identically distributed random errors. If the error terms were not stochastic then some of the properties of the regression analysis are not valid.
What is regression analysis?
In statistics, regression analysis is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables.
What regression method would be used when there is more than one independent variable?
multivariate regression
Requirements of regression analysis in statistics?
You may get more ideas from wikipedia under regression analysis. You can do a regression analysis with as little as 2 x,y points- but is it meaningful? Requirements for valid or meaningful relationships can be subjective. However, in my opinion, if meaningful relationships are to be created using regression analysis, the following are important: a) The independent variable should have values that are independent (no relation exists between them). b) There should be a good rational or experimental basis for identifying the independent variables and the resultant dependent variable. c) Sufficient data should be collected in a controlled environment to identify the relationship. d) The validity of the relationship should easy to identify both visually and by numbers (see "goodness of fit" tests).
is it possible to use primary data as independent variable and secondary data as independent variable in correlation analysis and regression analysis?
Possible maybe
Multiple regression analysis examines the relationship of several dependent variables on the independent variable?
True.
What is the role of the stochastic error term in regression analysis?
Regression analysis is based on the assumption that the dependent variable is distributed according some function of the independent variables together with independent identically distributed random errors. If the error terms were not stochastic then some of the properties of the regression analysis are not valid.
What is a mathematical procedure that predicts the dependent variable on the basis of knowledge known about independent variables?
regression analysis
What is the variation attributable to factors other than the relationship between the independent variables and the explained variable in a regression analysis is represented by?
Regression mean squares
Simple regression and multiple regression?
Simple regression is used when there is one independent variable. With more independent variables, multiple regression is required.
What happens when you introduce more than one independent variable into a linear regression analysis?
this is for a class in Math-233-statistics
What does one have to do before a regression analysis?
Before undertaking regression analysis, one must decide on which variables will be analysed. Regression analysis is predicting a variable from a number of other variables.
How do I perform regression analysis in SPSS?
To perform regression analysis in SPSS: Open your dataset in SPSS. Go to "Analyze" > "Regression." Select the type of regression analysis (linear or multiple). Move the dependent variable to the "Dependent" box. Move independent variables to the "Independent(s)" box. Optionally, specify additional settings. Click "OK" to run the analysis. Interpret the results in the generated output. You can take professional help also. Experts can surely help you and assist you in performing such data analysis tasks.
What is regression analysis?
In statistics, regression analysis is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables.
What regression method would be used when there is more than one independent variable?
multivariate regression
Which variable would be the dependent variable in a linear regression analysis?
hours spent studying
