correlation which can be strong or weak
negative, weak
Irrelevant
yes
It really depends a lot on the context. The Cohen scale, for example, puts a correlation of 0.5 right on the cusp of "medium/modest" (0.30-0.49) and "large/strong" (0.50-1.00). However these cutoff criteria are largely arbitrary and shouldn't be applied too strictly. A correlation of 0.5 might be regarded as strong in some social science situations (e.g. where the measures are based on 5-point Likert scales) or weak in physical science situations where instrumentation can be extremely precise.
correlation which can be strong or weak
negative, weak
A correlation near 0 indicates a weak linear association.
a strong negative correlation* * * * *No it is not. It is a very 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.
Irrelevant
It means you have a slight negative correlation between the two variables of interest. As one increases the other decrease and vice versa, albeit in a weak fashion.
It is easy to find the correlation. First you see how far apart the dots are. if they are going UP like this / <---- it means its a positive correlation. if its like this \ <---- its a negative correlation. if its everywhere its a neutral (although they almost never do them in tests). To find out the strength is your opinion. If alot are grouped together almost making a line its a Strong correlation. Then you decide if its a Strong or Weak correlation depending on how close together the dots are. So put them together in a 1 mark question like::::it is a Strong Positive Correlation
Pearson's Product Moment Correlation Coefficient indicates how strong the relationship between variables is. A PMCC of zero or very close would mean a very weak correlation. A PMCC of around 1 means a strong correlation.
A negative correlation is when you compare 2 sets of data on a line graph (e.g. scores in a French test and scores in an English test), the higher one thing is, the lower the other is (e.g. someone might score 98% on the French test but only 12% on the English test (or visa versa)). A positive correlation is the other way around. A weak correlation is when there is a lot of deviation from the line of best fit (there will always be one with correlations as a line of best fit shows correlations after all) whereas with a strong correlation, there is little deviation.
yes
yes