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What else can I help you with?
Does the explanatory variable cause changes in the response variable in a valid sample?
No. It may appear to cause the change because the changes are correlated. However, it is quite possible that changes in both variables are caused by some third, possibly unknown, variable.No. It may appear to cause the change because the changes are correlated. However, it is quite possible that changes in both variables are caused by some third, possibly unknown, variable.No. It may appear to cause the change because the changes are correlated. However, it is quite possible that changes in both variables are caused by some third, possibly unknown, variable.No. It may appear to cause the change because the changes are correlated. However, it is quite possible that changes in both variables are caused by some third, possibly unknown, variable.
How are variables related?
variables are all related because they can equal to any number
What third variables might there be that would cause a spurious correlation in the survey results?
The third variable could be one which is correlated to both variables. These are called confounding variable. For example, in the UK you could find a correlation between coastal air pollution and ice cream sales. This is not because eating ice cream causes air pollution nor because air pollution causes people to eat ice cream. The confounding variable is the temperature. Warm weather gets people to drive to the sea!
Why are variables important(math)?
Because they allow you to generalise results. Then, for specific value of the variables you get specific answers.
Why two different variables m and s are needed in exercise 3?
Because there are two unknown variables.
Does the explanatory variable cause changes in the response variable in a valid sample?
No. It may appear to cause the change because the changes are correlated. However, it is quite possible that changes in both variables are caused by some third, possibly unknown, variable.No. It may appear to cause the change because the changes are correlated. However, it is quite possible that changes in both variables are caused by some third, possibly unknown, variable.No. It may appear to cause the change because the changes are correlated. However, it is quite possible that changes in both variables are caused by some third, possibly unknown, variable.No. It may appear to cause the change because the changes are correlated. However, it is quite possible that changes in both variables are caused by some third, possibly unknown, variable.
In what ways does correlation differ from causation?
Correlation is a statistical relationship between two variables, while causation implies that one variable directly influences the other. Just because two variables are correlated does not mean that one causes the other.
What are the shortcomings of correlation?
One shortcoming is the danger of assuming that because 2 variables are highly correlated then one must have caused the other. Correlations alone can never support this assumption.
How are motors and generators examples of energy changing forms?
They are because they can.
What do dependent and independent variables represent in science?
In science, independent variables are variables that you control the change of, to see how somethings changes as a result of changing these variables. Dependent variables are variables that change because the independent variables are changed, but you don't change directly. A good example of this would be an experiment where you're measing how cold a glass of water gets after putting in different amounts of ice in it and wating 5 minutes. The independant variable would be the amount of ice you put into each glass, because that's what you're directly changing. The dependent variable is how cold each glass gets, because that's the result you're trying to see by changing the independent variable - it changes because something else changes. Additionally, when graphing, independent variables are put on the x-axis (horizontal line), and dependent variables are put on the y-axis (vertical line).
Are correlation and causation the same thing?
No, correlation and causation are not the same thing. Correlation means that two variables are related in some way, while causation means that one variable directly causes a change in another variable. Just because two variables are correlated does not mean that one causes the other.
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'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 meaning of the word correlation?
Correlation refers to a statistical measure that shows the extent to which two or more variables change together. A positive correlation indicates that the variables move in the same direction, while a negative correlation means they move in opposite directions. Correlation does not imply causation, meaning that just because two variables are correlated does not mean that one causes the other.
How are variables related?
variables are all related because they can equal to any number
What does it mean to control the variables in an experiment?
Controls are the things you leave the same when you do an experiment. Variables are the things you affect in an experiment to see if it makes a difference. It depends on the experiment how you would "control" the variable.
How is fame and music correlated with drug abuse?
because music is insperation and the type of music can change your mood
