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Scatter Diagram Video Lecture | Economics Class 11 - Commerce

75 videos|274 docs|46 tests

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Video Timeline
Video Timeline
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00:20 Degree of Correlation
00:55 Perfect Correlation
02:47 Absence of Correlation
03:37 Limited Degree of Correlation
05:47 Methods of Estimating Correlation
06:14 Scatter Diagram for Estimation of Correlation
07:38 Interpretation of Scatter Diagram
13:18 Merits & Demerits of Scatter Diagram
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FAQs on Scatter Diagram Video Lecture - Economics Class 11 - Commerce

1. What is a scatter diagram?
Ans. A scatter diagram, also known as a scatter plot, is a graphical representation that displays the relationship between two variables. It is created by plotting one variable on the x-axis and the other variable on the y-axis. Each data point is represented by a dot, and the pattern formed by these dots helps to identify any correlation or relationship between the variables.
2. How can a scatter diagram be useful in data analysis?
Ans. A scatter diagram is a valuable tool in data analysis as it helps to visually identify the relationship between two variables. By plotting the data points, we can determine if there is a positive, negative, or no correlation between the variables. This information is crucial for making informed decisions, identifying trends, and predicting future outcomes based on the observed relationship.
3. What does it mean if the dots on a scatter diagram form a straight line?
Ans. If the dots on a scatter diagram form a straight line, it indicates a strong linear relationship between the variables. This means that as one variable increases, the other variable also increases or decreases proportionally. The slope of the line represents the strength and direction of the relationship, where a positive slope indicates a positive correlation, and a negative slope indicates a negative correlation.
4. Can a scatter diagram be used to determine causation between variables?
Ans. No, a scatter diagram cannot establish causation between variables. It only shows the relationship or correlation between them. While a strong correlation may suggest a potential causal relationship, further analysis and experiments are necessary to establish causation. Other factors or variables not considered in the scatter diagram may influence the observed relationship, making it important to exercise caution when inferring causation based solely on a scatter diagram.
5. How can outliers affect the interpretation of a scatter diagram?
Ans. Outliers are data points that significantly deviate from the overall pattern or trend in a scatter diagram. They can have a significant impact on the interpretation of the diagram as they may distort the correlation or relationship between the variables. It is important to identify and analyze outliers separately to understand their influence on the data. Removing or addressing outliers may be necessary to obtain a more accurate representation of the relationship between the variables.
75 videos|274 docs|46 tests
Video Timeline
Video Timeline
arrow
00:20 Degree of Correlation
00:55 Perfect Correlation
02:47 Absence of Correlation
03:37 Limited Degree of Correlation
05:47 Methods of Estimating Correlation
06:14 Scatter Diagram for Estimation of Correlation
07:38 Interpretation of Scatter Diagram
13:18 Merits & Demerits of Scatter Diagram
More
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