What is indicated by a negative correlation between grade point average and the number of hours spent studying for a sample of college students?
As the number of hours increases, grade point average decreases
.
Which example illustrates a negative correlation?
A negative correlation is a relationship between two variables in which an increase in one variable is associated with a decrease in the other. An example of negative correlation would be
height above sea level and temperature
. As you climb the mountain (increase in height) it gets colder (decrease in temperature).
What is indicated when a correlation is negative?
What Is Negative Correlation? Negative correlation is a
relationship between two variables in which one variable increases as the other decreases, and vice versa
. … A perfect negative correlation means the relationship that exists between two variables is exactly opposite all of the time.
Which of the following values would signify the weakest correlation between two variables?
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 of the following values indicates the strongest relationship between two variables as measured by a correlation coefficient?
Answer:
-0.85
(Option d) is the strongest correlation coefficient which represents the strongest correlation as compared to others.
Is a strong or weak correlation?
| Correlation Coefficient (r) Description (Rough Guideline ) | +0.6 to 0.8 Strong + association | +0.4 to 0.6 Moderate + association | +0.2 to 0.4 Weak + association | 0.0 to +0.2 Very weak + or no association |
|---|
What are the 4 types of correlation?
Usually, in statistics, we measure four types of correlations:
Pearson correlation, Kendall rank correlation, Spearman correlation, and the Point-Biserial correlation
.
How do you interpret a negative Pearson correlation?
The positive correlation means there is a positive relationship between the variables; as one variable increases or decreases, the other tends to increase or decrease with it. The negative correlation means that
as one of the variables increases, the other tends to decrease, and vice versa
.
Which of the following indicates the strongest negative correlation?
A correlation of
-1
indicates a near perfect relationship along a straight line, which is the strongest relationship possible. The minus sign simply indicates that the line slopes downwards, and it is a negative relationship.
How do you tell if there is a positive or negative correlation?
If
the correlation coefficient is greater than zero, it is
a positive relationship. Conversely, if the value is less than zero, it is a negative relationship. A value of zero indicates that there is no relationship between the two variables.
Which of the following R values indicate the strongest correlation?
A)
0.92
represents the strongest correlation. A correlation value r will always be between -1 and 1.
What is a perfect positive correlation?
A perfectly positive correlation means that
100% of the time
, the variables in question move together by the exact same percentage and direction. A positive correlation can be seen between the demand for a product and the product’s associated price. … A positive correlation does not guarantee growth or benefit.
What does correlation mean in math?
Correlation refers to
the degree of correspondence or relationship between two variables
. Correlated variables tend to change together. For example, if variable X is school attendance and variable Y is the score on an achievement test we could expect a negative correlation between X and Y. …
What is correlation in statistics?
Correlation is a
statistical measure that expresses the extent to which two variables are linearly related
(meaning they change together at a constant rate). It’s a common tool for describing simple relationships without making a statement about cause and effect.
How do you determine the strength of a correlation?
Measuring Linear Association
The relationship between two variables is generally considered strong
when their r value is larger than 0.7
. The correlation r measures the strength of the linear relationship between two quantitative variables. Pearson r: r is always a number between -1 and 1.
Which of the following would indicate the strongest relationship between two variables?
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.
