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Is Iron Patriot weak or powerful?
Weak
What is negative or inverse correlation?
When one variable changes, the other variable moves in the opposite direction.
Was the US Congress too weak to enforce the treaties signed before the war?
Yes, they built a weak central government.
What is the modern expression that refers to a person's weak spot and is based on a figure from greek mythology?
An "Achilles heel" is a person with a weak spot.
What did antifederalists thought states would be?
weak!
What is an example of weak positive correlation?
you
Is -20 a weak correlation?
yes
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 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.
