It seems like your question got cut off. However, I can explain the types of correlation:
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No Correlation: There is no relationship between the two variables, meaning that changes in one variable do not affect the other.
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Positive Correlation: As one variable increases, the other variable also increases. This means there is a direct relationship between the two variables.
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Negative Correlation: As one variable increases, the other variable decreases. This indicates an inverse relationship between the two variables.
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Linear Correlation: This refers to a straight-line relationship between two variables. It can be either positive or negative. In a linear relationship, when plotted on a graph, the data points form a line or a pattern that can be closely approximated with a straight line.
If you can provide more context or specific data points, I can help determine what type of correlation is exhibited.