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There can be. It depends on the variables.

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13y ago

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What correlations shows the strongest relationship between two variables A -74 B 68 C 07 or D -19?

A does but only if all of them are preceded by a decimal point.


If two variables have a negative linear correlation is the slope of the least squares negative?

Negative


What does it mean if two variables have a negative correlation?

A positive correlation between two variables, say X and Y, means that if one increases, the other will too. No correlation means that they are not related. A negative correlation means that as one increases, the other decreases. Normally you will see this in studies as "Recent studies demonstrated a positive correlation between eating too much and obesity." Or, "recent studies demonstrate a negative correlation between a healthy, balanced diet and obesity".


What shows a correlation which may be positive or negative between two sets of data?

I believe you are asking how to identify a positive or negative correlation between two variables, for which you have data. I'll call these variables x and y. Of course, you can always calculate the correlation coefficient, but you can see the correlation from a graph. An x-y graph that shows a positive trend (slope positive) indicates a positive correlation. An x-y graph that shows a negative trend (slope negative) indicates a negative correlation.


Difference between positive and negative correlation?

If the two variables increase together and decrease together AND in a linear fashion, the correlation is positive. If one increases when the other decreases, again, in a linear fashion, the correlation is negative.

Related Questions

What is the meaning of Correlations?

It means that here is no linear relationship between the two variables. There may be a perfect non-linear relationship, though.


What is a chart that visualizes the relationship between two variables?

A chart that visualizes the relationship between two variables is called a scatter plot. In a scatter plot, individual data points are plotted on a two-dimensional graph, with one variable represented on the x-axis and the other on the y-axis. This allows for the identification of patterns, trends, or correlations between the variables, such as positive or negative relationships. Scatter plots are commonly used in statistical analysis to assess the strength and direction of relationships.


What kind of graph is most useful for showing relationships between two nemerical variables?

A scatter plot is the most useful graph for showing relationships between two numerical variables. It displays individual data points on a Cartesian plane, allowing for the visualization of trends, correlations, and patterns between the variables. By analyzing the distribution of points, one can easily identify if a positive, negative, or no correlation exists. Additionally, scatter plots can help highlight outliers in the data.


What graphical technique should be used to display a correlation?

A scatter plot is a graphical technique commonly used to display correlations between two variables. It allows you to visually observe the relationship between the variables and assess the strength and direction of the correlation.


What is a graph that shows relationship between two variables?

A graph that shows the relationship between two variables is typically called a scatter plot. In a scatter plot, each point represents an observation in a two-dimensional space, with one variable plotted along the x-axis and the other along the y-axis. This type of graph helps visualize patterns, trends, and correlations between the variables, allowing for analysis of their relationship. Depending on the distribution of the points, one can infer whether the relationship is positive, negative, or nonexistent.


If two variables have a negative linear correlation is the slope of the least-squares line positive or negative?

If two variables have a negative linear correlation, the slope of the least-squares regression line is negative. This indicates that as one variable increases, the other variable tends to decrease. Thus, the negative slope reflects the inverse relationship between the two variables.


What correlations shows the strongest relationship between two variables A -74 B 68 C 07 or D -19?

A does but only if all of them are preceded by a decimal point.


What is is the purpose of a scatter plot?

Scatter plot graphs are used in mathematics. They are used to show types of relationships or correlations that are between two sets of data.


What type of graph is used to compare or determine relationship between variables?

A scatter plot is commonly used to compare or determine the relationship between two variables. It displays individual data points on a Cartesian plane, allowing for visual assessment of correlations, trends, or patterns. Additionally, line graphs can also be employed when illustrating the relationship between variables over time.


What is a scatter graph used for?

A scatter graph is used to display the relationship between two quantitative variables by plotting data points on a Cartesian plane. It helps to identify patterns, trends, and correlations, such as positive, negative, or no correlation between the variables. Additionally, scatter graphs can reveal outliers and clusters within the data, making them valuable for exploratory data analysis in various fields, including science, economics, and social sciences.


Can a correlation be measured?

Yes, correlations can be measured using statistical methods such as Pearson's correlation coefficient or Spearman's rank correlation coefficient. These measures quantify the strength and direction of the relationship between two variables.


What graph can be used to show the relationships between two measurements or variables.?

A scatter plot is commonly used to show the relationships between two measurements or variables. Each point on the graph represents an observation, with one variable plotted along the x-axis and the other along the y-axis. This type of graph helps to visualize trends, correlations, and potential patterns between the two variables. Additionally, a line of best fit can be added to indicate the overall direction of the relationship.