Scatter diagram helps us toa)Find the nature correlation between two v...
Scatter Diagram: Definition and Purpose
A scatter diagram is a two-dimensional graph in which the values of two variables are plotted along two axes. It is also known as a scatter plot or scatter chart. The scatter diagram is useful for exploring the relationship between two variables, such as the strength and direction of their correlation.
Nature of Correlation
In a scatter diagram, the nature of correlation between two variables is shown by the pattern of the points on the graph. If the points form a clear pattern, such as a straight line, then it indicates a strong correlation. If the points are scattered randomly, then it indicates a weak or no correlation between the variables.
Extent of Correlation
Although the scatter diagram does not provide a numerical measure of the correlation between two variables, it can give an idea of its extent. The closer the points are to the line of best fit, the stronger the correlation is. The line of best fit is a straight line that passes through the middle of the points on the scatter diagram.
Mathematical Relationship
The scatter diagram does not provide a mathematical relationship between two variables, but it can help to identify the type of relationship. For example, if the points form a curved line, it indicates a non-linear relationship between the variables. If the points form a straight line, it indicates a linear relationship between the variables.
Conclusion
In conclusion, the scatter diagram is a useful tool for exploring the relationship between two variables. It helps to identify the nature of correlation, extent of correlation, and type of relationship between two variables. Therefore, the correct answer is option 'A' which states that a scatter diagram helps us to find the nature correlation between two variables.
Scatter diagram helps us toa)Find the nature correlation between two v...
From scatter diagram, we can't obtain the value of correlation coefficient. We can only determine whether positive or negative or zero correlation.
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