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Can ANOVA be used to test proposed relationships or predicted correlations between variables in a single?
To it cannot.
Can ANOVA be used to test proposed relationships or predicted correlations between variables in a single group?
Yes, in fact, that is one of ANOVA's chief uses.
What are some relationships that exist between variables?
Causation, correlation...
Uses bars to show the relationships between variables?
A Bar Graph!
How do you determine the relationships between the variables?
That's exactly what the equation tells you.
Can ANOVA be used to test proposed relationships or predicted correlations between variables in a single?
To it cannot.
What is predicted y?
Predicted y is the value that a model generates based on input variables and learned relationships between those variables. This value represents the model's estimation of the outcome based on the data it has been trained on.
Can ANOVA be used to test proposed relationships or predicted correlations between variables in a single group?
Yes, in fact, that is one of ANOVA's chief uses.
What are some relationships that exist between variables?
Causation, correlation...
What are two types of mathematical relationships that exist between different variables?
Direct or inverse relationships,that is a problem
Uses bars to show the relationships between variables?
A Bar Graph!
How do you determine the relationships between the variables?
That's exactly what the equation tells you.
What are interfering variables?
An intervening variable is a hypothetical internal state that is used to explain relationships between observed variables
This is the type of research that describes the strength and direction of relationships between variables?
Correlational
Does Cross-sectional study measure relationships between disease and other variables?
They can do.
How is point slope used in math or science?
To estimate linear relationships between variables.
What are the strengths and weaknesses of correlational methods of psychology?
Strengths: Correlational methods allow researchers to identify relationships between variables and make predictions, are less invasive than experimental methods, and can be used to generate hypotheses for further research. Weaknesses: Correlational studies cannot establish causal relationships between variables, are prone to third-variable problems and confounding variables, and may be limited by the quality of the measures used.
