The relationship between two variables partialling out the effect that a third variable has on one of those variables can be expressed using a:
Semi-partial correlation
Bivariate correlation
Point-biserial correlation
Partial correlation

partial correlation.

Explanation:

partial correlation measures the degree of association between two random variables, with the effect of a set of controlling random variables removed. If we are interested in finding to what extent there is a numerical relationship between two variables of interest, using their correlation coefficient will give misleading results if there is another, confounding, variable that is numerically related to both variables of interest. This misleading information can be avoided by controlling for the confounding variable, which is done by computing the partial correlation coefficient.

the mistake in the pattern is that :

b. the decimal point was moved one too many place values each time

the correct pattern could be made by :

b. moving the decimal point to the right the same numbers of place values as the exponents

answer: what are the answer choices?

step-by-step explanation: