Correlation is a way of testing whether there is a linear relationship between two variables of their transformed versions. If there is no correlation then all that it means is that there is no linear relationship between the two or between their transformed versions. It certainly does not mean that there is no relationship. For example, if y = a*x^2 + b where a and b are constants then, because of symmetry, the correlation between x and y is 0.
That means something that will change, basically, the point of your experiment
'Manipulating variables' means to change some of the portions of a specific formula that are open to change, and hence variable. Take: ( x + y ) = 5 You may discretionally change the variables x and y to anything from minus infinity to five and the equation will still be solvable. To do so would be to manipulate those variables.
There are three types of variables tested: manipulated variables, controlled variables, and experimental variables.
'Manipulating variables' means to change some of the portions of a specific formula that are open to change, and hence variable. Take: ( x + y ) = 5 You may discretionally change the variables x and y to anything from minus infinity to five and the equation will still be solvable. To do so would be to manipulate those variables.
Constant means strait line and variable is an arch which is not a strait line
the statistically independent random variables are uncorrelated but the converse is not true ,i want a counter example,
to convert raw data of correlated variables to data matrix of uncorrelated variables (Principal Component)
Yes. the conditional expectation of X given Y is simply the expectation of X if X and Y are uncorrelated. This is a consequence of one of the properties of conditional expectation.
If I have two source of noise let as say two laser diodes so the pink noise that generate fro both of them is it correlated or uncorrelated
Yes it is. That is actually true for all random vars, assuming the covariance of the two random vars is zero (they are uncorrelated).
It means that values are assigned to each of the variables in such a way that, when replacing the variables for those values, EACH of the equations will be true.
Correlation is a measure of the degree to which two variables change together. Positive correlation means that the variables increase together and decrease together. Negative correlation means that one variable increases when the other decreases.Correlation does not imply causality.Correlation is a measure of the degree to which two variables change together. Positive correlation means that the variables increase together and decrease together. Negative correlation means that one variable increases when the other decreases.Correlation does not imply causality.Correlation is a measure of the degree to which two variables change together. Positive correlation means that the variables increase together and decrease together. Negative correlation means that one variable increases when the other decreases.Correlation does not imply causality.Correlation is a measure of the degree to which two variables change together. Positive correlation means that the variables increase together and decrease together. Negative correlation means that one variable increases when the other decreases.Correlation does not imply causality.
what does controlling the variable mean?
Usually it means that each of the variables is dependent on the other. if one changes, so does the other.
To manipulate a variable means to change it.
xx is means kisses in a simpler form! Or... it means two unknown variables.
implicit means you must declare variables before using them while explicit is not a must you declare variables before using them