False. Correlation coefficient as denoted by r, ranges from -1 to 1. Coefficient of determination, or r squared ranges from 0 to 1. I note that x,y data points that have a high negative correlation would plot with a negative trend or a negatively sloped line if a best fit regression line is determined. I note also that x,y data points with a high positive correlation would plot with a positive trend or positively sloped line if a best fit regression line is determined. The coefficient of determination for r = 0.9 and r= -0.9 would be 0.81.
Zero.
When i am showing changes that occur in related variables
If there is one independent variable, and one or more dependent variables, then they would be plotted on the y-axis. If there are a mix of discrete and continuous variables, then the continuous variables should be plotted on the y-axis. In general, though, any variable can be plotted on the y-axis.
If one of the variables was independent or if there was a causal relationship between the two variables, then that variable would be placed on the x-axis. If there were no independent variable but one of them was discrete then that would usually be on the x-axis. Otherwise, any variable could be placed on the x-axis.
False. Correlation coefficient as denoted by r, ranges from -1 to 1. Coefficient of determination, or r squared ranges from 0 to 1. I note that x,y data points that have a high negative correlation would plot with a negative trend or a negatively sloped line if a best fit regression line is determined. I note also that x,y data points with a high positive correlation would plot with a positive trend or positively sloped line if a best fit regression line is determined. The coefficient of determination for r = 0.9 and r= -0.9 would be 0.81.
Positively Correlated
positively correlated
Velocity and distance of an accelerating object would be one example.
I would often become quite aggravated when he would attempt to discriminate positively.
Positively (apex)
Variables.
The answer depends on what it is that is growing. I would rather have the number of my enemies growing linearly and my friends exponentially.
Yes, if you have two limiting variables with other possibles variables between them, the variables between the limiting variables would be continuous.
The potassium atom would become positively charged - or a cation.
Another positively charged object would repel a positively charged object. This is because objects with like charges repel each other due to the principles of electrostatic force.
Yes. I would call it stimulating, and positively fascinating.