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its is complicated math...sorry no answer
There is no "this statement" associated with the question, but the maximum number of points which lie of the graph of a linear equation in two variables is infinite.
The covariance between two variables is simply the average product of the values of two variables that have been expressed as deviations from their respective means. ------------------------------------------------------------------------------------------------- A worked example may be referenced at: http://math.info/Statistics/Covariance
Scatter plots are used to investigate a possible correlation between two variables that are associated with the same “event.”
a zero correlation means that there is no relationship between the two or more variables.
if two variables are positively related,it means that the two variables change in the same direction.that is,if the value of one of the variables increases,the value of the other variable too will increase.for example,if employment as an economic variable increases in a country,and price of goods too increases then we can say that these two variables(employment and price) are positively related
A positive correlation between two variables means that there is a direct correlation between the variables. As one variable increases, the other variable will also increase.
its is complicated math...sorry no answer
as the covariance of the two random variables (X and Y) is used for calculating the correlation coeffitient of those variables it indicates that the relation between those (X and Y) is positive, so they are positively correlated.
xx is means kisses in a simpler form! Or... it means two unknown variables.
It means that there is a strong positive association between changes in the two variables being studied. Positive association means that the two variables tend to increase together or decrease together. Note that there is no mention of a causal relationship between the variables.
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.
There is no "this statement" associated with the question, but the maximum number of points which lie of the graph of a linear equation in two variables is infinite.
It means there is no discernable relationship between the two variables. Knowing one variable does not give you any help in working out the other. They are independent of each other.
Two variables are said to be positively correlated if an increase in one is accompanied by an increase in the other. There need not be any causal link between these changes.
The covariance between two variables is simply the average product of the values of two variables that have been expressed as deviations from their respective means. ------------------------------------------------------------------------------------------------- A worked example may be referenced at: http://math.info/Statistics/Covariance
Below-average values of the other.