Using the principle of linear regression, the scatter plot implies that there is a correlation between the two variables but not causation.
When the graph of the linear relationship between two variables exhibits a visible trend or pattern, the there variables are said to correlate
The scatter plot above shows that there is a strong linear association between the two variables.
However, correlation does not imply causation, hence, there is no evidence or logical relationship to infer that number of ice cream sales drives the number of air conditions sold.
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