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A statement that proposes a cause and a effect between two variables?
Wiki User
∙ 12y ago
hypothesis
Wiki User
∙ 12y ago
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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 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 is a casual relationship in math?
A cause and effect relationship between the two variables.
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
What are the two variables that effect the force of gravity?
(1) The masses involved, (2) the distance between the masses.
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.
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.
What are the three conditions necessary for causation between variables?
The three conditions necessary for causation between variables are covariance (relationship between variables), temporal precedence (the cause must precede the effect in time), and elimination of plausible alternative explanations (other possible causes are ruled out).
One way in which experimental research differs from observational research is that only experimental research can?
establish causality between variables by manipulating one variable and measuring its effect on another variable. Observational research can observe and describe associations between variables but cannot determine cause-and-effect relationships.
Which research methods can show cause and effect?
Experimental research methods, such as randomized controlled trials, are best suited to demonstrate cause and effect relationships. By manipulating an independent variable and measuring its effect on a dependent variable while controlling for confounding variables, researchers can establish a causal relationship between variables.
Why cant you draw a conclusion about the effect of one variable in an investigation when the other key variables are not controlled?
If none of the variables are constant (or controls) you have no idea which variable or combination of variables caused the effect.
What does moderating effect mean?
A moderating effect refers to a variable that influences the direction or strength of the relationship between two other variables. In other words, it impacts the relationship between the independent and dependent variables. Moderating effects help researchers understand under what conditions a relationship holds true.
