They can but the two are related when both are zero. Otherwise, it is like your weight and height having the same value (in some units).
They can but the two are related when both are zero. Otherwise, it is like your weight and height having the same value (in some units).
They can but the two are related when both are zero. Otherwise, it is like your weight and height having the same value (in some units).
They can but the two are related when both are zero. Otherwise, it is like your weight and height having the same value (in some units).
Positive correlation has a positive slope and negative correlation has a negative slope.
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.
There's absolutely no connection or correlation whatsoever between the steepness and the direction of a slope.
A correlation coefficient cannot exceed 1.
Positive correlation has a positive slope and negative correlation has a negative slope.
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.
You can say that the correlation is positive if and only if the slope is positive. The correlation is zero if and only if the slope is zero. And the correlation is negative if and only if the slope is negative. On the other hand, slope does change when your measurement units change, while correlation does not change. (For example, the correlation between height in inches and weight in pounds will be the same as the correlation between height in centimeters and weight in kilograms, as long as both sets of measurements were taken on the same observations.)
A positive value for a correlation indicates a positive correlation; e.g. it has a positive slope.
The straight line with no slope is a point
the negative sign on correlation just means that the slope of the Least Squares Regression Line is negative.
There's absolutely no connection or correlation whatsoever between the steepness and the direction of a slope.
Positive Correlation
A correlation coefficient cannot exceed 1.
A correlation coefficient of 1 (r=1) is a perfect positive correlation.
The slope of the trend line is the rate of change of the data. It is the ratio of the change of the dependent variable to the rate of change of the independent variable. Slope represents the value of the correlation.
Negative