Positive correlation.
Positive correlation.
Positive correlation.
Positive correlation.
On a graph it is shown by a line that goes from the bottom left towards the top right. There are fewer conventions about presenting data in a table and it is not possible to say how it might be shown. One possibility is that there is a column of y values and a column of x values. And both increase (decrease) together.
% change is the % of increase or % of decrease. % change = (difference of the two values / the original value) x 100% =[(original value - new value)/original value] x 100% % increase -if the value increased % decrease -if the value decreased
Y would decrease in value as X increases in value.
This has a negative slope (it slopes 'down' as you move from left to right).
one set of data values increases as the other decreases
Decrease your scale values. The higher the scale values, the stronger the correlation
A correlation reflects the strength of the relationship between two variables. A correlation doesn't reflect causation, but merely that two phenomena are present at the same time. The closer the value is to 1, the stronger the relationship between two variables is. This value can be positive or negative. A negative value merely indicates that, as the values on one variable increase, the values on the second variable decrease. A positive correlation indicates that both values will increase or decrease together.
The values of the range also tend to increase.
It is a positive relationship.
Correlation
Positive Correlation
When r is close to +1 the variables have a positive correlation between them; as the x-values increase, the corresponding y-values increase. There is also a strong linear correlation or relationship between the variables, when the value of r is close to +1.
On a graph it is shown by a line that goes from the bottom left towards the top right. There are fewer conventions about presenting data in a table and it is not possible to say how it might be shown. One possibility is that there is a column of y values and a column of x values. And both increase (decrease) together.
% change is the % of increase or % of decrease. % change = (difference of the two values / the original value) x 100% =[(original value - new value)/original value] x 100% % increase -if the value increased % decrease -if the value decreased
Y would decrease in value as X increases in value.
-0.9
In general the highest will decrease (more) and the lowest will increase (somewhat), but NEVER linearly average pH values, because it is an exponential unit. ( [H+] = 10-pH )