A does but only if all of them are preceded by a decimal point.
Negative
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".
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.
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.
It means that here is no linear relationship between the two variables. There may be a perfect non-linear relationship, though.
A scatter plot is a graphical technique commonly used to display correlations between two variables. It allows you to visually observe the relationship between the variables and assess the strength and direction of the correlation.
A does but only if all of them are preceded by a decimal point.
Scatter plot graphs are used in mathematics. They are used to show types of relationships or correlations that are between two sets of data.
Yes, correlations can be measured using statistical methods such as Pearson's correlation coefficient or Spearman's rank correlation coefficient. These measures quantify the strength and direction of the relationship between two variables.
Negative
It tells you how strong and what type of correlations two random variables or data values have. The coefficient is between -1 and 1. The value of 0 means no correlation, while -1 is a strong negative correlation and 1 is a strong positive correlation. Often a scatter plot is used to visualize this.
A relational study is a research method that examines the relationships between two or more variables to determine how they are connected or associated. These studies often involve analyzing data to identify patterns, correlations, or causal relationships between the variables being studied. The goal is to gain insight into how changes in one variable may affect another.
"If coefficient of correlation, "r" between two variables is zero, does it mean that there is no relationship between the variables? Justify your answer".
When a question asks you to state the relationship between variables, it is requesting you to describe how the variables are related to each other. This could include whether they have a positive or negative correlation, whether one variable causes a change in the other, or if there is no relationship between the variables.
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.
Line graph is used to show relationship between two variables.