In class the point was made that a strong correlation between two social phenomena is not necessarily tantamount to a causal link.

Explanation:

Causation and correlation are that are mostly misunderstood and often used interchangeably. Understanding both statistical terms is very important not to make conclusions but more importantly, making a correct conclusion at the end. Correlation is a statistical technique that tells us how strongly the variables are linearly related and change together. It does not tell us why and how behind the relationship but it does say just the relationship exists. Correlation doesn't mean causality  

For example, ice cream doesn't cause death among people  

Correlation is something that we can think when we can't see under the cover. So the less information we have, the more we are forced to observe the correlation

levels of production can be increased by technology while holding labor and capital constant, because increased technology makes the production process more efficient. subsequently, the lras curve is almost a vertical line, that can shift to the right, with an increase in technology.

the relationship between the lras curve and the ppc is that both can make the economy could grow. the ppc achieves that when it shifts outward because of more resources or technological advances while the lras curve shifts if more resources are developed or if there are technological advances.

the lras curve is a vertical line at an output level that represents the number of goods and services a nation can produce over a sustained period using all of its productive resources as efficiently as possible with all of the current technology available to it.

the production possibilities frontier (ppf) is a graphical device that is used for economic analysis of production decisions because the ppf measures the maximum possible combinations of two goods that an economy is capable of producing with its currently available resources and technology.

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hope this !