09
Jun
Strong Correlation Scatter Plot. Scatter plots are a method of mapping one variable compared to another. If the dots are widely spread the relationship between variables is weak. If the dots are concentrated around a line the relationship is strong. This scatterplot shows a strong negative linear association between age of drivers and number of accidents.
As a rule of thumb a correlation greater than 075 is considered to be a strong correlation between two variables. A correlation coefficient measures the strength of that relationship. A scatter plot shows the. This scatterplot shows a strong negative linear association between age of drivers and number of accidents. Scatter about the line is quite small so there is a strong linear relationship. So there does appear to be a strong correlation here and because a good-fit line drawn amongst these points would have a negative slope that correlation is negative.
How do you know if it is a strong or weak correlation.
If the dots are widely spread the relationship between variables is weak. 3 r 0 correlation is positive x increase y increase. 2 If r is close to 1 there is strong linear correlation. A scatter plot shows the. What is the association of a scatter plot. If the dots are widely spread the relationship between variables is weak.