Pearson's correlation coefficient (r) with CORREL
Finds Pearson's r for two equal-length number ranges. The result is from -1 to 1: near 1 is strong positive, near -1 is strong negative, near 0 is no linear link.
Understanding Pearson's correlation coefficient (r) with CORREL in VCE Data Analytics U3O1
What it does: Both ranges cover rows 2 to 9, so they are equal in length, which is what CORREL needs. A result close to 0 from CORREL shows almost no linear link between the two ranges. An r value close to +1 means that as one field increases, the other tends to increase too. Pearson's r always falls between -1 and 1, so 1.4 can never be returned. A negative r means the two fields move in opposite directions. A value near -1 makes this a strong link. Strength depends on how far r is from 0, not on its sign. -0.95 is much closer to -1 than 0.40 is to 1.
Common mistakes: The two ranges must be the same length. B2:B9 has 8 cells but C2:C8 has 7, so CORREL gives #N/A. It should be =CORREL(B2:B9,C2:C9). A11 holds a text label, not the r value, so ROUND returns #VALUE!. It should round the CORREL result in B11: =ROUND(B11,2).
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Quick Questions
Match the Pairs
Key Term
=CORREL(B2:B9,C2:C9)Fill in the Blanks
Spot the Error
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