(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);
What is a weak correlation coefficient?
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 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 .
Is 1.0 A weak correlation?
The possible range of values for the correlation coefficient is -1.0 to 1.0. In other words, the values cannot exceed 1.0 or be less than -1.0. A correlation of -1.0
indicates a perfect negative correlation
, and a correlation of 1.0 indicates a perfect positive correlation.
Is 0.5 A weak correlation?
Correlation coefficients whose magnitude are between 0.5 and 0.7 indicate variables which can be considered moderately correlated. Correlation coefficients whose magnitude are between 0.3 and 0.5 indicate variables
which have a low correlation
.
How do you know if it is a strong or weak correlation?
The Correlation Coefficient
When the r value is closer to +1 or -1, it indicates that there is a stronger linear relationship between the two variables. A correlation of -0.97 is a
strong negative correlation
while a correlation of 0.10 would be a weak positive correlation.
What makes a weak correlation?
A weak correlation means that as
one variable increases or decreases, there is a lower likelihood of there being a relationship with the second variable
. … If the cloud is very flat or vertical, there is a weak correlation.
Which of the following correlations is the strongest?
Answer:
-0.85
(Option d) is the strongest correlation coefficient which represents the strongest correlation as compared to others.
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.
Which of the following correlations would be interpreted as a 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.
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.
Why is correlation less than 1?
The Correlation Coefficient cannot be greater then the absolute value of 1 because it is
a measure of fit between two variables that are not affected by units of measurement
. A correlation coefficient is a measure of how well the data points of a given set of data fall on a straight line.
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
.
What does a correlation of 0.25 mean?
Generally yes, a correlation of 0.25 is
considered substantial
(not necessarily high) depending on what you are looking at. I’ve also seen 0.3 as a cut-off point but we learned that a corr of 0.2 or higher already hints at a low positive correlation.
What does a correlation of 0.7 mean?
This is interpreted as follows: a correlation value of 0.7 between two variables would indicate that
a significant and positive relationship exists between the two
.
What does a correlation of 0.05 mean?
In our case, it represents the probability that the correlation between x and y in the sample data occurred by chance. A p-value of 0.05 means that
there is only 5% chance that results from your sample occurred due to chance
.
