As the explanatory variable increases, the response variable increases
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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.