A positive correlation is a relationship between two variables such that their values increase or decrease together.
A scatterplot is a type of data display that shows the relationship between two numerical variables. Each member of the dataset gets plotted as a point whose x-y coordinates relates to its values for the two variables.
Which of the following is a graph in which each point represents the values of two variables?
Scatter Diagram
What type of relationship is one in which one value increases by a certain factor if the other value decreases by the same factor?
Positive correlation is a relationship between two variables in which both variables move in tandem—that is, in the same direction. A positive correlation exists when one variable decreases as the other variable decreases, or one variable increases while the other increases.
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.
What is meant when the relationship between the two variables is called Positive negative?
Positive: In a positive relationship both variables tend to move in the same direction: If one variable increases, the other tends to also increase. ... Negative: In a negative relationship the variables tend to move in the opposite directions : If one variable increases, the other tends to decrease, and vice-versa.
What is positive and negative correlation?
A positive correlation is a relationship between two variables in which both variables move in the same direction. ... A negative correlation is a relationship between two variables in which an increase in one variable is associated with a decrease in the other.
Which diagram shows the values of two variables?
A scatterplot shows the relationship between two quantitative variables measured for the same individuals. The values of one variable appear on the horizontal axis, and the values of the other variable appear on the vertical axis. Each individual in the data appears as a point on the graph.
How do you describe the relationship between two variables?
The statistical relationship between two variables is referred to as their correlation . A correlation could be positive, meaning both variables move in the same direction, or negative, meaning that when one variable’s value increases, the other variables’ values decrease.
How do you interpret a scatter diagram?
You interpret a scatterplot by looking for trends in the data as you go from left to right : If the data show an uphill pattern as you move from left to right, this indicates a positive relationship between X and Y. As the X-values increase (move right), the Y-values tend to increase (move up).
What is it called when something increases and the other increases?
Direct Relationship : This is where two variables do the same thing. If one increases, the other increases. ... Inverse Relationship: This is where two variables do the opposite thing.
What is positive correlation give an example?
A positive correlation exists when two variables move in the same direction as one another. A basic example of positive correlation is height and weight —taller people tend to be heavier, and vice versa. In some cases, positive correlation exists because one variable influences the other.
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.
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 |
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Which correlation is the strongest in research?
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 is the strongest relationship between two variables?
Explanation: According to the rule of correlation coefficients, the strongest correlation is considered when the value is closest to +1 (positive correlation) or -1 (negative correlation) . A positive correlation coefficient indicates that the value of one variable depends on the other variable directly.
