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A correlation coefficient of 1 or -1 would be the highest possible statistical relationship. However, the calculation of correlation coefficients between non independent values or small sets of data may show high coefficients when no relationship exists.
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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.
What does a graph of Charles law shows the relationship between?
A graph of Charles Law shows the relationship between temperature and volume of gas.
Which graph shows a positive correlation between x and y?
Any graph where, from left to right, the slope goes upward (assuming the axes are labelled in the standard way).
What is meant by p value?
the p-value is used in statistics. It shows how strong the relationship between the variable are. Normally it is between -1 and 1. The closer it is to one the stronger the relationship is. the p-value is used in statistics. It shows how strong the relationship between the variable are. Normally it is between -1 and 1. The closer it is to one the stronger the relationship is.
A mathematical sentence that shows the relationship between quantities that are not equivalent?
it is called an inequality
What is the meaning of zero correlation?
If variables have zero correlation, they do not have a linear relationship. Zero correlation shows that two things were not found to be related.
What is it called when one variable increases the other variable shows no relationship?
No correlation.
When an experiment shows that two variable are closely related that experiment shows?
that there is a correlation between the two variables. However, correlation does not imply causation, so it is important to further investigate to determine the nature of the relationship between the variables.
When an experiment showes that two variable are closely related the experiment shows?
correlation
What shows relationship between implementation of programs and the sites ability to meet objectives and goals?
Trend correlation
If two variables are highly correlated the correlation coefficient will be at or near zero-true or false?
If two variables are highly correlated, the Pearson correlation will be close to -1.0 or +1.0. A correlation of zero shows no relationship.
What shows relationship between implementation of programs and the site's ability to meet objectives and goals?
D. Trend correlation
How is a scatter plot that shows no correlation different from a scatter plot that has a negative corrrelation?
A scatterplot with no correlation means that there is no relation between the two categories, a negative correlation means that the two categories have a relationship that as one gets greater the other gets smaller
Difference between Multicollinearity and Autocorrelation?
Multicolinearity shows the relationship of two or more variables in a multi-regression model. Auto-correlation shows the corellation between values of a process at different point in times.
When an experiment shows that two variable are related the experience shows?
correlation
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.
When an experiment shows that two variable ate closely related the experiment shows?
that there is a strong correlation between the two variables. This suggests that a change in one variable is associated with a change in the other variable. However, correlation does not imply causation, so further experiments are needed to establish if there is a causal relationship between the variables.
