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An example of a positive correlation is: the number of cars on the road and the number of greenhouse gas emissions there are. As one of those rises, so does the other. A negative correlation is when one statistic rises causing the other to drop. Look at a few scatter plots and you will easily be able to see positive and negative correlations
The most common plots are bar charts and scatter/ line plots. Scatter plots as used in the Excel program, have continuous scales on the x and y coordinates. So, if your data is measured on a continuous scale, which includes many physical measurements are (ie: temperature, weights, speed, lengths or heights) then a scatter plot makes sense.
It's bc extrapolation is invloved
to show the relationship between 2 sets of data
megan turn on your headlights! the snake is in the bush ^what kind of answer was that -.-