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After the data is collected and graphed, it will be in a line virtually straight. You can then form a relationship using the basic linear formula and see if it is close enough to be acceptable.

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Q: How you would know what variables are positively linearly correlated?
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What is an example of two variables that would be positively correlated and two variables that could be negatively correlated?

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.


When two variables are found to be unrelated the correlation coefficient would be?

Zero.


When would you choose a line graph to present data?

When i am showing changes that occur in related variables


What is shown on a y-axis on a figure?

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.


When building a line-graph a person would place the what on the x-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.