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Yes. Which why life is complicated.

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10y ago

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Simple regression and multiple regression?

Simple regression is used when there is one independent variable. With more independent variables, multiple regression is required.


Why should you have one independent variable in an experimental setup at a time?

Because if you have none, there is no point in doing the experiment. If you have more than one you will have interactions between the independent variables but, with a good experimental design, these can be estimated so there is no reason to use independent variables one at a time.


How many variables can be tested in an experiment?

1


What is the differences between independent and dependent variables?

One is dependent and one is independent


The independent variable is plotted on what axis?

It depends on the number of variables and their nature: 2 variables, both independent: either axis 2 variables, one independent: x-axis 3 variables, all independent: any axis 3 variables, 2 independent: x or y-axis. 3 variables, 1 independent: x-axis. and so on.


13 What is the relation between dependent and independent variables?

Independent variables are those that you change in an experiment. Dependent variables are the ones that you measure in an experiment. Dependent variables are influenced by the independent variables that you change, so they are dependent upon the independent variable. Generally, experiments should have only one independent variable.


What dose controlled experiment mean?

this is an experiment that only one varible is manipulated at a time


How do you identify the independent and dependent variables in a situation?

If one of the variables affects the outcome of the other but not the other way around, then the one that is affected is the dependent and the other is independent.


A well designed experiment can only have one independent variable?

False. A well-designed experiment can have more than one independent variable if the relationship between them needs to be studied. However, controlling for multiple independent variables can increase the complexity of the experimental design and analysis.


How many independent variables should an investigation have?

There can only be one independent and one dependent variable. All other variables should be classed as control variables and must be kept constant to achieve a fair test.


What is the difference between simple and multiple linear regression?

I want to develop a regression model for predicting YardsAllowed as a function of Takeaways, and I need to explain the statistical signifance of the model.


One of the two variables that are in a relationship?

One would be the independent variable.