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What else can I help you with?
When a researcher wants to determine whether a variable is simply correlated with another variable he or she conducts a(n) .?
experiment
Can a correlated study determine when there is lack of a relationship between two variables?
Sure. If you can observe that when variable A changed, variable B didn't change, and this happens repeatedly, that is a good indication that there is no relationship between those variables.
What is negatively correlated?
Two variables are negatively correlated when the slope of the best-fit line that is drawn on the scatter plot with the independent variable on the x-axis and the dependent variable on the y-axis is negative.
What is the meaning of confounding in statistics?
In statistics. a confounding variable is one that is not under examination but which is correlated with the independent and dependent variable. Any association (correlation) between these two variables is hidden (confounded) by their correlation with the extraneous variable. A simple example: The proportion of black-and-white TV sets in the UK and the greyness of my hair are negatively correlated. But that is not because the TV sets are becoming colour sets and so my hair is loosing colour, nor the other way around. It is simply that both are correlated with the passage of time. Time is the confounding variable in this example.
What does ''highly correlated'' mean?
Correlation is defined as the degree of relationship between two or more variables. It is also called the simple correlation. The degree of relationship between two or more variables is called multi correlation. when two or more variables are said to be higjly correlated it means that they have a strong relationship such that a given rise or fall in one variable will lead to a direct change in the other variable or variables. good examples of highly correlated variables are price and quantity, wage rate and out put, tax and income.
If two graphs have exactly the same shape what can you tell about the variables?
If two graphs have exactly the same shape, it indicates that the variables are proportional to each other. This means that as one variable increases or decreases, the other variable changes in a consistent and fixed ratio.
How can you compare values in tables of two variable categorical data?
The answer depends on what aspect you wish to compare: If you wish to find out if the two variables are correlated one statistical technique is the chi-square test.
What's the difference between correlation and causation?
Correlation is a relationship between two variables where they change together, while causation is when one variable directly causes a change in another variable. Just because two things are correlated does not mean that one causes the other.
What is the independent and dependent variable in sex and violence?
If, by sex, you mean gender, then sex is the independent variable and violence is the dependent. If, instead, you mean the sexual act (or thoughts), then due to the feedback, the two are correlated variables: neither being independent.
What does a relationship between two correlated variables have?
Correlation between two variables implies a linear relationship between them. The existence of correlation implies no causal relationship: the two could be causally related to a third variable. For example, my age is correlated with the number of TV sets in the UK but obviously there is no causal link between them - they are both linked to time.
An experiment should consist of what two things?
An experiment should consist of an independent variable, which is the variable that is manipulated or changed by the researcher, and a dependent variable, which is the variable that is measured or observed to determine the effect of the independent variable.
What variable changes as a result of changing the variable listed in part a?
The dependent variable changes in response to changes in the independent variable. This change in the dependent variable is measured to determine the impact or relationship between the two variables.
