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What else can I help you with?
What is the difference between positve and negative correlation?
Positive correlation has a positive slope and negative correlation has a negative slope.
Is the slope of a line positive when doing linear regression if the correlation coefficient is negative?
No, the slope of a line in linear regression cannot be positive if the correlation coefficient is negative. The correlation coefficient measures the strength and direction of a linear relationship between two variables; a negative value indicates that as one variable increases, the other decreases. Consequently, a negative correlation will result in a negative slope for the regression line.
What does a correlation coefficient of zero indicates?
A coefficient of zero means there is no correlation between two variables. A coefficient of -1 indicates strong negative correlation, while +1 suggests strong positive correlation.
What are three types of correlation in maths?
In mathematics, the three types of correlation are positive correlation, negative correlation, and zero correlation. Positive correlation occurs when two variables move in the same direction, meaning that as one increases, the other also increases. Negative correlation happens when one variable increases while the other decreases. Zero correlation indicates no relationship between the two variables, meaning changes in one do not affect the other.
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 is the difference between positve and negative correlation?
Positive correlation has a positive slope and negative correlation has a negative slope.
What shows a correlation which may be positive or negative between two sets of data?
I believe you are asking how to identify a positive or negative correlation between two variables, for which you have data. I'll call these variables x and y. Of course, you can always calculate the correlation coefficient, but you can see the correlation from a graph. An x-y graph that shows a positive trend (slope positive) indicates a positive correlation. An x-y graph that shows a negative trend (slope negative) indicates a negative correlation.
Difference between positive and negative correlation?
If the two variables increase together and decrease together AND in a linear fashion, the correlation is positive. If one increases when the other decreases, again, in a linear fashion, the correlation is negative.
Difference between positive and negative corelation?
Positive correlation means that, if something increases, a factor dependent on it also increases. However, if there is negative correlation, the dependent factor decreases.
What is the maximum and minimum value of the correlation coefficient?
The correlation can be anything between +1 (strong positive correlation), passing through zero (no correlation), to -1 (strong negative correlation).
What does it mean if two variables have a negative correlation?
A positive correlation between two variables, say X and Y, means that if one increases, the other will too. No correlation means that they are not related. A negative correlation means that as one increases, the other decreases. Normally you will see this in studies as "Recent studies demonstrated a positive correlation between eating too much and obesity." Or, "recent studies demonstrate a negative correlation between a healthy, balanced diet and obesity".
Is there a positive correlation a negative correlation or no correlation between daily newspaper circution and the number of television sets in homes?
I would assume a negative correlation. More TV sets per home = less newspaper circulation.
What is the range of correlation coefficient and what does its value tell?
The product-moment correlation coefficient or PMCC should have a value between -1 and 1. A positive value shows a positive linear correlation, and a negative value shows a negative linear correlation. At zero, there is no linear correlation, and the correlation becomes stronger as the value moves further from 0.
Is the slope of a line positive when doing linear regression if the correlation coefficient is negative?
No, the slope of a line in linear regression cannot be positive if the correlation coefficient is negative. The correlation coefficient measures the strength and direction of a linear relationship between two variables; a negative value indicates that as one variable increases, the other decreases. Consequently, a negative correlation will result in a negative slope for the regression line.
What does a correlation coefficient of zero indicates?
A coefficient of zero means there is no correlation between two variables. A coefficient of -1 indicates strong negative correlation, while +1 suggests strong positive correlation.
What can you say about the relationship between a correlation r and the slope b of the least squares line form of data?
You can say that the correlation is positive if and only if the slope is positive. The correlation is zero if and only if the slope is zero. And the correlation is negative if and only if the slope is negative. On the other hand, slope does change when your measurement units change, while correlation does not change. (For example, the correlation between height in inches and weight in pounds will be the same as the correlation between height in centimeters and weight in kilograms, as long as both sets of measurements were taken on the same observations.)
What are three types of correlation in maths?
In mathematics, the three types of correlation are positive correlation, negative correlation, and zero correlation. Positive correlation occurs when two variables move in the same direction, meaning that as one increases, the other also increases. Negative correlation happens when one variable increases while the other decreases. Zero correlation indicates no relationship between the two variables, meaning changes in one do not affect the other.
