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Scatter Diagram - Correlation & Regression, Business Mathematics & Statistics Video Lecture | SSC CGL Tier 2 - Study Material, Online Tests, Previous Year
FAQs on Scatter Diagram - Correlation & Regression, Business Mathematics & Statistics Video Lecture - SSC CGL Tier 2 - Study Material, Online Tests, Previous Year
| 1. What is a scatter diagram and how is it used in business mathematics and statistics? |  |
Ans. A scatter diagram, also known as a scatter plot, is a graphical representation of data points in a Cartesian coordinate system. It is used in business mathematics and statistics to visually display the relationship between two variables. Each data point on the diagram represents the values of the two variables, allowing analysts to identify patterns or trends in the data.
| 2. How can I determine the correlation between two variables using a scatter diagram? | |
Ans. To determine the correlation between two variables using a scatter diagram, you need to examine the pattern of the data points. If the points on the diagram form a clear linear pattern, it indicates a positive or negative correlation. A positive correlation means that as one variable increases, the other variable also tends to increase. A negative correlation means that as one variable increases, the other variable tends to decrease. The strength of the correlation can be determined by how closely the data points cluster around the trend line.
| 3. What is regression analysis and how is it related to scatter diagrams in business mathematics and statistics? | |
Ans. Regression analysis is a statistical technique used to examine the relationship between a dependent variable and one or more independent variables. In business mathematics and statistics, regression analysis is often used in conjunction with scatter diagrams to estimate and model the relationship between variables. By fitting a line or curve to the data points on a scatter diagram, regression analysis helps in making predictions or understanding the impact of changing independent variables on the dependent variable.
| 4. Can a scatter diagram be used to predict future values of a variable? | |
Ans. Yes, a scatter diagram, in combination with regression analysis, can be used to predict future values of a variable. By fitting a regression line or curve to the data points on the scatter diagram, analysts can establish a mathematical relationship between the variables. This relationship can then be used to make predictions about the value of the dependent variable for given values of the independent variable(s) in the future.
| 5. How can I interpret the results of a scatter diagram and regression analysis in business mathematics and statistics? | |
Ans. Interpreting the results of a scatter diagram and regression analysis involves understanding the correlation coefficient, the coefficients of the regression equation, and the goodness of fit. The correlation coefficient measures the strength and direction of the relationship between the variables, with values ranging from -1 to +1. The coefficients of the regression equation provide insight into the impact of the independent variables on the dependent variable. The goodness of fit, typically measured by the R-squared value, indicates how well the regression model fits the data. A higher R-squared value suggests a better fit and more reliable predictions.
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