When two variables are positively correlated, it means that as one variable increases, the other variable also tends to increase, and vice versa. This relationship indicates a direct association between the two variables, suggesting that they move together in the same direction. A positive correlation is often quantified using a correlation coefficient, which ranges from 0 to 1, with values closer to 1 indicating a stronger correlation.
Two numerical variables are said to be associated when changes in one variable are related to changes in the other variable. This relationship can be positive, negative, or even nonlinear, indicating that as one variable increases or decreases, the other variable tends to do the same (or the opposite). Association does not imply causation; it simply indicates a statistical relationship between the two variables.
its is complicated math...sorry no answer
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
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.
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
Independently associated means that two variables are related to each other even after accounting for the influence of other variables. In statistical terms, it indicates that the relationship between the two variables is significant and not influenced by any confounding factors. It suggests that the association between the variables is genuine and not spurious.
When two variables are positively correlated, it means that as one variable increases, the other variable also tends to increase, and vice versa. This relationship indicates a direct association between the two variables, suggesting that they move together in the same direction. A positive correlation is often quantified using a correlation coefficient, which ranges from 0 to 1, with values closer to 1 indicating a stronger correlation.
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.
Two numerical variables are said to be associated when changes in one variable are related to changes in the other variable. This relationship can be positive, negative, or even nonlinear, indicating that as one variable increases or decreases, the other variable tends to do the same (or the opposite). Association does not imply causation; it simply indicates a statistical relationship between the two variables.
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.
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.
its is complicated math...sorry no answer
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
xx is means kisses in a simpler form! Or... it means two unknown variables.