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Add remaining smooth curve graph examples.
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===Example 2===+This example shows a flat curve indicating that increasing or decreasing the values in one axis has no change in the other.+
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===Example 1===
===Example 1===
−A negative correlation where the linear and non-linear are close, indicating an even spread of the data along the correlation line
+A negative correlation where the linear and non-linear are close, indicating an even spread of the data along the correlation line.
In this case it is showing that significant contributions are contributed by international groups and organisations and as one moves to small contributions, these are progressively contributed by individuals doing something small.
In this case it is showing that significant contributions are contributed by international groups and organisations and as one moves to small contributions, these are progressively contributed by individuals doing something small.
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The interpretation is confirmed by a display of the contours and/or dots. This is explained below.
The interpretation is confirmed by a display of the contours and/or dots. This is explained below.
−==Example 2===
−No correlation - thus flat smooth curve (indicating no correlation) where the linear and non-linear are close, indicating an even spread of the data along the correlation line.
+In this case, it is showing that there are no specific correlation between individuals doing something small and international groups and organisations to the emission levels. But the line being just under the 75% indicates that both for individuals and organisations, the level of emissions is quite high.
+[[File:CrossDyadExampleLevelSmoothOnly.png|500px|none|No Correlation, Even Spread Smooth Only]]
+Again, the interpretation is confirmed by a display of the contours and/or dots. This is explained below.
+===Example 3===
+This is an x,y plot between Transport and Industry as low and high emitters. The correlation is very positive between Transport and Industry - that is when transport is low, industry is low, when transport is high, industry is high.
+However, the core feature of this graph is that the non-linear curve is very different at the left side of the graph to the linear curve. The linear curve indicates that while the correlation is positive, in fact a very low transport, while indicating low for industry is still over 50% for industry, thus still quite high in comparison to transport. However, the non-linear curve indicates that at the left there are outliers to the bottom for industry - that is there are cases here where genuine low transport correlates to genuinely low industry.
+[[File:CrossDyadExamplePosUnevenSmoothOnly.png|500px|none|Positive Correlation, linear and non-linear not evenly spaced. ]]
+Again, the interpretation is confirmed by a display of the contours and/or dots. This is explained below.