That condition is necessary but not sufficient.
That condition is necessary but not sufficient.
That condition is necessary but not sufficient.
That condition is necessary but not sufficient.
The term that describes the relationship in which both the dependent and independent variables in a graph increase is called a "positive correlation." In a positively correlated relationship, as the independent variable increases, the dependent variable also tends to increase, indicating a direct relationship between the two. This is often represented by an upward-sloping line on a graph.
The relationship between two quantities that increase together is called a positive correlation. In this scenario, as one quantity rises, the other quantity also tends to rise, indicating a direct relationship between the two. This can often be represented graphically with an upward-sloping line on a scatter plot.
A positive correlation indicates that as one variable increases, the other variable also tends to increase, suggesting a direct relationship between the two. Conversely, a negative correlation means that as one variable increases, the other tends to decrease, indicating an inverse relationship. Correlation does not imply causation; it simply reflects the degree to which the two variables move together.
If two sets of data are correlated, it means that there is a statistical relationship between them, indicating that changes in one set are associated with changes in the other. This relationship can be positive (both sets increase together) or negative (one set increases while the other decreases). However, correlation does not imply causation; it does not mean that one set directly causes the changes in the other.
In the equation ( y = 4X ), the constant of proportionality is 4. This means that for every unit increase in ( X ), ( y ) increases by 4 units, indicating a direct proportional relationship between ( y ) and ( X ). Thus, ( y ) is directly proportional to ( X ) with a proportionality constant of 4.
The term that describes the relationship in which both the dependent and independent variables in a graph increase is called a "positive correlation." In a positively correlated relationship, as the independent variable increases, the dependent variable also tends to increase, indicating a direct relationship between the two. This is often represented by an upward-sloping line on a graph.
The relationship between two quantities that increase together is called a positive correlation. In this scenario, as one quantity rises, the other quantity also tends to rise, indicating a direct relationship between the two. This can often be represented graphically with an upward-sloping line on a scatter plot.
A correlation reflects the strength of the relationship between two variables. A correlation doesn't reflect causation, but merely that two phenomena are present at the same time. The closer the value is to 1, the stronger the relationship between two variables is. This value can be positive or negative. A negative value merely indicates that, as the values on one variable increase, the values on the second variable decrease. A positive correlation indicates that both values will increase or decrease together.
The increase of A/P on the statement of cash flow show?
The increase of A/P on the statement of cash flow show?
The increase of A/P on the statement of cash flow show?
The increase of A/P on the statement of cash flow show?
The increase of A/P on the statement of cash flow show?
The increase of A/P on the statement of cash flow show?
The increase of A/P on the statement of cash flow show?
it is included in cash flow statement
Yes all increase or decrease in cash goes to cash flow statement and are part of it.