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.
In the context of mathematics, a constant rate refers to a consistent relationship between two quantities. When we say that 2 and 8 represent a constant rate, it means that for every increase of 2 units in one quantity, there is a corresponding consistent increase of 8 units in another. This relationship can be expressed as a ratio (2:8), which simplifies to 1:4, indicating that the rate remains the same regardless of the specific values being considered.
In a scatter plot, a positive relationship is indicated when the points trend upward from left to right, suggesting that as one variable increases, the other also tends to increase. A negative relationship shows a downward trend, meaning that as one variable increases, the other decreases. No relationship is represented by a random distribution of points with no discernible pattern, indicating that changes in one variable do not affect the other.
To determine if a relationship is linear by examining the words used to describe the variables, look for terms that imply a consistent, proportional change between them, such as "increase," "decrease," or "constant rate." Phrases like "directly proportional" or "linear relationship" suggest a linear connection. Conversely, words indicating variability or non-constant rates, such as "exponential," "quadratic," or "curvilinear," suggest a non-linear relationship. Ultimately, the language used can provide insights into the nature of the relationship.
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.