The weakest linear relationship is indicated by
a correlation coefficient equal to 0
. A positive correlation means that if one variable gets bigger, the other variable tends to get bigger. A negative correlation means that if one variable gets bigger, the other variable tends to get smaller.
Which correlation coefficient represents the weakest relationship?
(a)
-0.15
represents the weakest correlation. The sign of the correlation just indicates the type of relationship that exists between the two variables, that is, whether an increase in one variable means an increase in the other variable (positive);
Which of the following correlation coefficients is the weakest quizlet?
+0.10
is the weakest. Explain why a correlation coefficient of 0.00 or close to 0.00 may not mean that there is no relationship between the variables. a correlation coefficient of . 00 or close to .
What indicates a weak correlation?
As a rule of thumb, a
correlation coefficient between 0.25 and 0.5
is considered to be a “weak” correlation between two variables.
Which of these correlation coefficients indicates the weakest relationship between two variables?
Strength – The weakest linear relationship is indicated by a
correlation coefficient equal to 0
(actually this represents no correlation!). The strongest linear correlation is indicated by a correlation of -1 or 1.
Which of the following correlation coefficients shows the strongest relationship?
Answer:
-0.85
(Option d) is the strongest correlation coefficient which represents the strongest correlation as compared to others.
What’s a strong positive correlation?
A positive correlation—when the correlation coefficient is greater than 0—signifies that both variables move in the same direction. … The
relationship between oil prices and airfares
has a very strong positive correlation since the value is close to +1.
What is a positive correlation quizlet?
Positive Correlation: A positive correlation means that
high values of one variable are associated with high values of the other
. Or if you like, the variables increase together.
When two variables have a strong negative correlation The correlation coefficient will be close to?
The higher the negative correlation between two variables, the closer the correlation coefficient will be to the
value -1
.
What is coefficient correlation?
The correlation coefficient is
the specific measure that quantifies the strength of the linear relationship between two variables in a correlation analysis
. The coefficient is what we symbolize with the r in a correlation report.
How do you interpret a weak positive correlation?
A weak positive correlation would indicate
that while both variables tend to go up in response to one another
, the relationship is not very strong. A strong negative correlation, on the other hand, would indicate a strong connection between the two variables, but that one goes up whenever the other one goes down.
How do you interpret a weak negative correlation?
A perfect negative correlation has a value of -1.0 and indicates that when X increases by z units, Y decreases by exactly z; and vice-versa. In general, -1.0 to -0.70 suggests a strong negative correlation, -0.50 a moderate negative relationship, and -0.30 a weak correlation.
Is 0.2 A strong correlation?
For example, a value of 0.2 shows there
is a positive correlation between two variables
, but it is weak and likely unimportant. … However, a correlation coefficient with an absolute value of 0.9 or greater would represent a very strong relationship.
Which of the following indicates the strongest relationship?
The strongest linear relationship is indicated by
a correlation coefficient of -1 or 1
. The weakest linear relationship is indicated by a correlation coefficient equal to 0. A positive correlation means that if one variable gets bigger, the other variable tends to get bigger.
What is an example of zero correlation?
A zero correlation exists when there is no relationship between two variables. For example there is
no relationship between the amount of tea drunk and level of intelligence
.
Which of the following represents the strongest relationship?
Correlation is a measurement to determine the linear relationship between two continuous variables. The coefficient of correlation (r) is always between -1 and 1, with the strongest
correlation being closest to -1 or 1
.
