Causation, correlation...
A Bar Graph!
Line Graph
To it cannot.
Scatter chart
Causation, correlation...
A causality study is a research method that investigates the relationship between variables to determine if a change in one variable causes a change in another. These studies aim to establish cause-and-effect relationships through controlled experimentation or statistical analysis. The goal is to determine if there is a direct impact between the variables being studied.
A relational study is a research method that examines the relationships between two or more variables to determine how they are connected or associated. These studies often involve analyzing data to identify patterns, correlations, or causal relationships between the variables being studied. The goal is to gain insight into how changes in one variable may affect another.
Direct or inverse relationships,that is a problem
A Bar Graph!
An intervening variable is a hypothetical internal state that is used to explain relationships between observed variables
Correlational
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A correlational study is a research method that examines relationships between variables without manipulating them. It aims to determine if and to what extent a relationship exists between two or more variables, but it does not establish causation. The strength and direction of the relationship are typically measured using statistical techniques such as correlation coefficients.
You can control independent variables in an experiment. These are factors that you deliberately change in order to observe their effect on dependent variables, which are the outcomes you are measuring. By controlling independent variables, you can help determine cause-and-effect relationships.
The number and structure of chromosomes help determine evolutionary relationships between species. Chromosome comparison helps to provide evidence of the relationships in a species.
To estimate linear relationships between variables.