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There are three types of correlation: positive, negative, and none (no correlation).
- Positive Correlation: as one variable increases so does the other. Height and shoe size are an example; as one's height increases so does the shoe size.
- Negative Correlation: as one variable increases, the other decreases. Time spent studying and time spent on Video Games are negatively correlated; as the your time studying increases, time spent on video games decreases.
- No Correlation: there is no apparent relationship between the variables. Video game scores and shoe size appear to have no correlation; as one increases, the other has no effect. A No Correlation graph would show this.
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What does a strong negative correlation coefficient mean?
The graph follows a very strong downward trend. Would have helped if you specified which correlation coefficient; there are different types.
When the data points on a graph are scattered with no clear pattern there is between the two variables?
No correlation. Answer provided by
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 does a correlation coefficient of r -0.01 imply about the graph of a data set?
It suggests that there is very little evidence of a linear relationship between the variables.
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.
