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How does the time period or number of variables effect correlation coefficient?
The time period may not affect the correlation coefficient at all. If looking at the correlation between the mass and volume of steel objects, time is totally irrelevant. The effect of the number of variables depends on whether or not the extra variables are related to ANY of the variables in the equation.
What is the ability to neutralize the effect of one variable in order to assess the relationship between two other variables?
makeing the correlation spurious
What is the method used to demonstrate a cause and effect relationship between two variables?
Statistically, you would need to conduct an experiment in which every single other variable was controlled. Not a feasible option so you control the obvious covariates and examine the residual covariance between the two variables of interest. Even so, you may not find something. For example, the covariance between x and y where y= x2 over any symmetric interval is 0.
A test of the effect of a single variable by changing it while keeping all other variables the same?
controlled experiment
What is moderating variable?
Moderation occurs when the relationship between two variable depends on a third variable. The third variable is referred to as the moderate variable or simply the moderator
What is a statement called that explains how variables affect each other called?
It is called a causal relationship or causal statement. This type of statement highlights the cause-and-effect relationship between variables, describing how changes in one variable can directly influence another variable.
What are cause and effect variables?
Cause variables are factors that directly influence or produce an effect on another variable. Effect variables are outcomes or results that are influenced by the cause variables. Understanding the relationships between cause and effect variables helps to analyze and predict how changes in one variable impact another.
What statement best describes a controlled experiment?
A controlled experiment involves manipulating one variable (independent variable) while keeping all other variables constant, in order to observe the effect on another variable (dependent variable). This allows researchers to determine a cause-and-effect relationship between the variables being studied.
When an experiment shows that one variable makes another Chang and no other variables have any effect the experiment shows?
causation
What is a proposed explanation for a problem called?
A proposed explanation for a problem is known as a hypothesis. It is a statement that suggests a possible cause-and-effect relationship between two or more variables, which can be tested through observations or experiments to determine its validity.
How does the time period or number of variables effect correlation coefficient?
The time period may not affect the correlation coefficient at all. If looking at the correlation between the mass and volume of steel objects, time is totally irrelevant. The effect of the number of variables depends on whether or not the extra variables are related to ANY of the variables in the equation.
Variables in an experiment whose effect you are testing?
'Known' Variables
How do the test variables and outcome variables in an experiment compare?
Test variables are the factors that are intentionally changed or manipulated by the researcher in an experiment, whereas outcome variables are the factors that are measured and affected by the test variables. Test variables are the independent variables that are controlled by the researcher, while outcome variables are the dependent variables that change in response to the test variables. The relationship between the test variables and outcome variables is explored to determine the effect of the test variables on the outcome variables.
What can be used to show a cause and effect between two variables?
A controlled experiment can be used to show a cause and effect relationship. ex: an experiment studying the effect of a certain medicine on patients.
When an experiment shows that one variable makes another variable change and no other variables any effect the experiment shows?
A direct relationship between the variables exists, where changes in one variable directly influence changes in the other variable, while other factors remain constant. This establishes a cause-and-effect relationship between the two variables in the context of the experiment.
When an experiment shows that one variable makes another variable change and no other variables have any effect the experiment?
causation
Can you transpose cause and effect?
Certainly! In transposing cause and effect, you would essentially reverse the relationship between two variables or events. This means treating what was once the effect as the cause, and vice versa.
