No.
If the correlation coefficient is close to 1 or -1, then the two variables have a high degree of statistical linear correlation.
See the related link, particularly the graphs which illustrate correlation.
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A positive value for a correlation indicates a positive correlation; e.g. it has a positive slope.
A positive correlation.
Positive correlation has a positive slope and negative correlation has a negative slope.
They can be positive correlation, negative correlation or no correlation depending on 'line of best fit'
Positive correlation = the slope of the scattered dots will rise from left to right (positive slope) Negative correlation = the slope of the scattered dots will fall from left to right (negative slope) No correlation = no real visible slope, the dots are too scattered to tell.