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answer is B. relationship because cause is when something is done and effect is when something that has a effect on it unknown exist means don't exist and dependent variable means only one
B. relationship
Further Explanation
What is meant by a correlation coefficient is a statistical measurement of covariates or the relationship between two variables. If the correlation coefficient found is not equal to zero (0), then there is a relationship between the two variables. If the correlation coefficient is found +1. then this relationship is called a perfect correlation or a perfect linear relationship with a positive slope. If not. if the correlation coefficient is found -1. then the relationship is called a perfect correlation or perfect linear relationship with a negative slope. Correlation is an analytical technique that is included in one of the association techniques. Association measurement is a general term that refers to a group of techniques in bivariate statistics used to measure the strength of the relationship between two variables. Association measurements are useful for measuring the strength and direction of the relationship between two or more variables.
Example: measuring the relationship between variables:
1) Work motivation with productivity;
2) Quality of service with customer satisfaction;
3) Inflation rate with CSPI
Measurement of the relationship between these two variables for each case will result in a decision, including:
a) There is no relationship between the two variables.
b) The relationship between the two variables is weak.
c) The relationship between the two variables is quite strong.
d) The relationship between the two variables is strong.
e) The relationship between the two variables is very strong.
Determination is based on criteria that state if a relationship approaches 1, then the relationship gets stronger, conversely, if the relationship is close to 0, then the relationship is getting weaker.
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Details
Grade: High School
Subject: Business
keywords: correlation, correlation coefficient, Association