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What statistical test to run when comparing the effects of two dichotomous variables on a dependent variable Anova Manova Why would you choose it?
SamiFarhatgp5662
If there are only two variables, then the dependent variable has only one variable it can depend on so there is absolutely no point in calculating multiple regression. There are no other variables!
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∙ 7y ago
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A dichotomous variable is?
Dichotomous means "having only two possible values." Examples of dichotomous variables are yes/no or male/female.
What is the difference between multiple regression and logistic regression?
In cases wherethe dependent variable can take any numerical value for a given set of independent variables multiple regression is used.But in cases when the dependent variable is qualitative(dichotomous,polytomous)then logistic regression is used.In Multiple regression the dependent variable is assumed to follow normal distribution but in case of logistic regression the dependent variablefollows bernoulli distribution(if dichotomous) which means it will be only0 or 1.
What is statistical control?
A statistical technique used to eliminate variance in dependent variables caused by extraneous sources. In evaluation research, statistical controls are often used to control for possible variation due to selection bias by adjusting data for program and control group on relevant characteristics.
What is an independent variable in statistics?
In a statistical model you have two kinds of variable. Response variables are the "outputs" of your model. Explanatory variables, on the other hand, are the "inputs" of your model. Response variables are dependent on the explanatory variables. Explanatory variable are independent of the response variables.Imagine you were trying to formulate a statistical model of your car's fuel economy. The "output" of your model is miles per gallon (or kilometres per litre). That's a dependent variable. "Inputs" into your model might be (for example) engine capacity, number of cylinders, tyre pressure, etc. These are your independent variables. That is, fuel economy may be, or is, (to be determined by the modelling) dependent on engine capacity and/or number of cylinders and/or tyre pressure, etc.
What is the differecnce between independent variables and dependent variables?
Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.
How do you choose the most appropriate statistical procedure?
To choose the appropriate statistical test, the following four question must be answered; What are your dependent and independent variables? What is scale of measurement of the variables? How many groups/samples are there in the study? Have I have met the assumptions of the statistical test?
Economic variables who are measured in goods are called?
dichotomous variables
A dichotomous variable is?
Dichotomous means "having only two possible values." Examples of dichotomous variables are yes/no or male/female.
Regression analysis is a statistical procedure for developing a mathematical equation that describes how?
one dependent and one or more independent variables are related.
Can you use dichotomous variables for mediation analysis?
Yes. You can do it
Why are the levels of variables important in statistical analysis?
levels of variables important in statistical analysis?
What is the difference between multiple regression and logistic regression?
In cases wherethe dependent variable can take any numerical value for a given set of independent variables multiple regression is used.But in cases when the dependent variable is qualitative(dichotomous,polytomous)then logistic regression is used.In Multiple regression the dependent variable is assumed to follow normal distribution but in case of logistic regression the dependent variablefollows bernoulli distribution(if dichotomous) which means it will be only0 or 1.
What is a stochastic error?
In a statistical model, variations in the dependent variable can be attributed to independent variables. However, there is a random element that is not accounted for and this is the stochastic error.
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 is statistical control?
A statistical technique used to eliminate variance in dependent variables caused by extraneous sources. In evaluation research, statistical controls are often used to control for possible variation due to selection bias by adjusting data for program and control group on relevant characteristics.
Independent and dependent are types of what?
Independent and dependent are types of variables. These variables are used mostly in science and math. When using independent variables you can control them dependent variables you cannot.
What is an independent variable in statistics?
In a statistical model you have two kinds of variable. Response variables are the "outputs" of your model. Explanatory variables, on the other hand, are the "inputs" of your model. Response variables are dependent on the explanatory variables. Explanatory variable are independent of the response variables.Imagine you were trying to formulate a statistical model of your car's fuel economy. The "output" of your model is miles per gallon (or kilometres per litre). That's a dependent variable. "Inputs" into your model might be (for example) engine capacity, number of cylinders, tyre pressure, etc. These are your independent variables. That is, fuel economy may be, or is, (to be determined by the modelling) dependent on engine capacity and/or number of cylinders and/or tyre pressure, etc.
