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What else can I help you with?
What does it mean for variables to show correlation?
A positive correlation coefficient means that as the value of one variable increases, the value of the other variable increases; as one decreases the other decreases. A negative correlation coefficient indicates that as one variable increases, the other decreases, and vice-versa.
When the correlation coefficient is negative?
The dependent variable has an inverse linear relationship with the dependent variable. When the dependent increases, the independent decreases, and conversely.
In an inverse relationship when one variable the other increase?
decreases
What is it called when one variable increases the other variable shows no relationship?
No correlation.
What is correlation What are the different types of correlation Why is it important to determine correlation What does it mean when it is said that two variables have no correlation?
A correlation is the relationship between two or more variables. Correlations are described as either weak or strong, and positive or negative. There can be a perfect correlation between variables, or no correlation between variables. It is important to determine the correlation between variables in order to know if and how closely changes in one variable are reflected by changes in another variable. This is done by determining the coefficient of correlation (r), which describes the strength of the relationship between variables and the direction. -1 ≤ r ≤ +1 if r= +1 or -1, there is a perfect correlation if r= 0 there is no correlation between the variables. a value closer to + or - 1 demonstrates a strong correlation, while a value closer to 0 demonstrates a weak correlation. a + value demonstrates that when one variable increases the other variable increases, while a - value demonstrates that when one variable increases the other variable decreases. However, it is very important to understand that correlation is not the same as relationship. Consider the two variables, x and y such that y = x2 where x lies between -a and +a. There is a clear and well-defined relationship between x and y, but the correlation coefficient r is 0. This is true of any pair of variables whose graph is symmetric about one axis. Conversely, a high correlation coefficient does not mean a strong relationship - at least, not a strong causal relationship. There is pretty strong correlation between my age and [the log of] the number of television sets in the world. That is not because TV makes me grow old nor that my ageing produces TVs. The reason is that both variables are related to the passage of time.
If two variables have a direct relationship what happens to the value of one as the value of the other changes?
In a direct relationship, as one variable increases, the other variable also increases. Conversely, as one variable decreases, the other variable decreases as well. The relationship between the two variables is positive and proportional.
What does a correlation of -0.9 mean'?
as one variable increases the other variable decreases
What is the relationship between variables ka and kb in the given scenario?
In the given scenario, the relationship between variables ka and kb is that they are inversely proportional. This means that as one variable increases, the other variable decreases, and vice versa.
What are the relationships of a graph?
I think you're referring to Correlation. This means the relationship between two variables. There can be a positive correlation, where as one variable increases, so does the other. There can be a negative correlation, where as one variable increases, the other decreases. Lastly, there can be no correlation, where there is no relationship between the two variables.
What are the effect of slope?
The slope of a line represents the rate of change between two variables. A positive slope indicates a direct relationship, where one variable increases as the other increases. A negative slope indicates an inverse relationship, where one variable decreases as the other increases. The steeper the slope, the greater the rate of change between the variables.
In inverse relationship when one variable increases the other?
decreases
When a graph of two variables is a straight line passing through the origin the variables are said to be to each other?
It means that they are directly proportional to each other. As one variable increases, the other variable increases/decreases at a constant rate. The constant rate is determined by the gradiant of the straight line.
When you observe data that consistently increases or decreases in response to a variable you are observing a trend true or false?
True. Observing data that consistently increases or decreases in response to a variable indicates a trend. This trend can provide valuable information about the relationship between the variables being studied.
What does it mean for variables to show correlation?
A positive correlation coefficient means that as the value of one variable increases, the value of the other variable increases; as one decreases the other decreases. A negative correlation coefficient indicates that as one variable increases, the other decreases, and vice-versa.
What type of relationship occurs when one variable decreases while the other variable increases?
A negative relationship, also known as an inverse relationship, occurs when one variable decreases while the other variable increases. This means that as one variable changes in one direction, the other variable changes in the opposite direction.
As the independent variable increases the dependent variable does what?
Depends on the relationship between the independent and dependent variables.
What is an inversely proportional graph?
An inversely proportional graph is one where the relationship between two variables is such that as one variable increases, the other variable decreases at a constant rate. This relationship is usually represented by a curve that slopes downwards from left to right.
