correlation

In statistics terms the difference between correlation and tie

is that correlation is one of the several measures of the linear statistical relationship between two random variables, indicating both the strength and direction of the relationship while tie is one or more equal values or sets of equal values in the data set.

As nouns the difference between correlation and tie

is that correlation is a reciprocal, parallel or complementary relationship between two or more comparable objects while tie is a knot; a fastening.

As a verb tie is

to twist (a string, rope, or the like) around itself securely.

Likeness is a related term of correlation.

As nouns the difference between likeness and correlation

is that likeness is the state or quality of being like or alike; similitude; resemblance; similarity while correlation is correlation.

As a verb likeness

is (archaic|transitive) to depict.

Correlation is a related term of bond.

As nouns the difference between correlation and bond

is that correlation is correlation while bond is .

As nouns the difference between correlation and affinity

is that correlation is a reciprocal, parallel or complementary relationship between two or more comparable objects while affinity is a natural attraction or feeling of kinship to a person or thing.

As a noun correlation is

correlation.

Correlation is a related term of resemblance.

As nouns the difference between correlation and resemblance

is that correlation is correlation while resemblance is the quality or state of resembling; likeness; similitude; similarity.

As nouns the difference between relevance and correlation

is that relevance is the property or state of being relevant or pertinent while correlation is a reciprocal, parallel or complementary relationship between two or more comparable objects.

As nouns the difference between correlation and finality

is that correlation is correlation while finality is the state of "being final"; the condition from which no further changes occur.