An error was made, correlation values can't be greater than 1.00.
The strength of the linear association between two variables is quantified by the correlation coefficient. The correlation coefficient always takes a value between -1 and 1. The 1 represents the perfect positive correlation and -1 represents the perfect negative correlation whereas the 0 represents the no correlation between two variables.
So, if the value of the correlation coefficient between shoe size and IQ is r = +1.99 then,
Analysts in some fields do not consider a correlation significant until the value is at least 0.8. However, a correlation coefficient with an absolute value of 0.9 or greater indicates a very strong relationship. 2.
They help you see progressions but sometimes graphs can be manipulated to convey specific data and hide others like using methods called cherry picking, changing x and y axis and etc.
