0
I am a seventh grader that had a crossword with this and the answer is "relationship"
Hope this helps :)
Wiki User
∙ 12y ago
Add your answer:
Earn +20 pts
A statistical measure of the association between two variables is called a?
Correlation Coefficient.
What graphs is often used for showing association between two variables?
None of the items on that list can show that association.
What is the definition of chisquare?
Chi-square is a statistic used to assess the degree of the relationship and degree of association between two nominal variables
If coefficient of correlation r between two variables is zero does it mean that there is no relationship between the variables Justify your answer?
"If coefficient of correlation, "r" between two variables is zero, does it mean that there is no relationship between the variables? Justify your answer".
What are functions used for in math?
There are used to encapsulate a relationship between two or more variables.
A statistical measure of the association between two variables is called a?
Correlation Coefficient.
What is the interpretation of yule s coefficient of association?
Yule's coefficient of association measures the strength and direction of association between two binary variables. It ranges from -1 to +1, with higher values indicating a stronger association. A coefficient of 0 suggests no association between the variables.
What does a correlation coefficient of 0.8 mean?
It means that there is a strong positive association between changes in the two variables being studied. Positive association means that the two variables tend to increase together or decrease together. Note that there is no mention of a causal relationship between the variables.
What graphs is often used for showing association between two variables?
None of the items on that list can show that association.
What is the contingency table?
A contingency table is a display of the frequency distribution of two or more categorical variables. It shows the relationship between the variables by organizing the data into rows and columns, with the intersection cells showing the frequency of each combination of variables. Contingency tables are commonly used in statistics to analyze the association between categorical variables.
Can you assign direction when both variables in a table are dichotomous?
No, directionality cannot be assigned when both variables in a table are dichotomous because there is no inherent order or relationship between the two binary variables. Only correlation or association between the variables can be determined.
What are the possible reasons for a correlation between two variables?
Chance association, (the relationship is due to chance) or causative association (one variable causes the other).
Would you capitalize association?
Yes, "Association" should be capitalized when referring to a specific organization or group. However, if used in a general sense, such as "There was an association between the two variables," it does not need to be capitalized.
What is the best description of an association?
An association is a relationship between two or more variables where they co-occur or change together. It measures the strength and direction of the relationship between variables, indicating how one variable is affected by changes in another. Associations can be positive, negative, or neutral.
What does correlation mean in maths?
Correlation is a statistical measure of the linear association between two variables. It is important to remember that correlation does not mean causation and also that the absence of correlation does not mean the two variables are unrelated.
Correlation coefficient value mean?
The correlation coefficient is a measure of linear association between two (or more) variables. It does not measure non-linear relationships nor does it say anything about causality.
Difference between chi square and Anova?
ANOVA is a statistical test of whether the means of several groups are all equal. The chi-square test of association is used to test the null hypothesis that there is no association between two nominal scale variables. It does not require a distinction between independent and dependent variables.
