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.
A positive value for a correlation indicates a positive correlation; e.g. it has a positive slope.
Possibly
A positive correlation.
Positive correlation = positive association Negative correlation = negative association
Positive correlation has a positive slope and negative correlation has a negative slope.
positive correlation-negative correlation and no correlation
Positive correlation.Positive correlation.Positive correlation.Positive correlation.
"If y tends to increase as x increases, then the data have a positive correlation. If y tends to decrease as x increases, then the data have a negative correlation. If the points show no correlation, then the data have approximately no correlation."
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
They can be positive correlation, negative correlation or no correlation depending on 'line of best fit'
1.
Positive Correlation