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Q: Is -20 a weak correlation
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What is an example of weak positive correlation?

An example of weak positive correlation would be the relationship between the amount of time spent studying for a test and the grade achieved. While there may be a slight increase in grades as study time increases, the correlation is not very strong. This means that studying more does not guarantee a significantly higher grade, but there is still a positive trend between the two variables.


Would a 0.27817234 be a weak correlation?

yes


-.147034 what type of correlation is this?

negative, weak


Interpret an r value of 0.11?

a strong negative correlation* * * * *No it is not. It is a very weak positive correlation.


When are is close to -1 does it indicate a weak negative correlation?

No, it indicates an extremely strong positive correlation.


What would a strong association but weak correlation look like?

If the form is nonlinear (like if the data is in the shape of a parabola) then there could be a strong association and weak correlation.


What is weak correlation?

R less than 0.3


What does dispersion indicate about the data?

correlation which can be strong or weak


What does a correlation near 0 indicate?

A correlation near 0 indicates a weak linear association.


What are the various approaches for data exploration.Give Examples?

various approaches to data exploration are 1. perfect correlation 2. strong correlation 3. weak correlation


Is the Correlation Coefficient of 35 strong?

The correlation coefficient must lie between -1 and +1 and so a correlation coefficient of 35 is a strong indication of a calculation error. If you meant 0.35, then it is a weak correlation.


Can you provide an example of a weak positive correlation?

You can find examples by typing it in to Google. Weak positive correlation is a set of points on a graph that are loosely set around the line of best fit. The line will be positive rising up from left to right. A weak correlation can vary a lot as long as you can decipher which direction the data tends towards you have a correlation. If the points are close to the line of best fit you have a strong correlation and with a set of points perfectly lined up is perfect correlation. All three types can positive negative or perfect.