RAVI RAMAKANT YADAV FY BSc (Computer Science) FD47 In the guidance of Dr. Kirti Raskar

[Audio] Good morning everyone, I am going to present a presentation on Scatter Diagrams and its types of correlations. Before we begin, I would like to introduce our speaker Ravi Ramakant Yadav, who will be discussing the topic in depth..

[Audio] A scatter diagram is a useful tool for examining and understanding the correlation between two variables. It can provide insight into any trends or relationships that can be found between the two sets of data. These diagrams can help identify patterns and discrepancies in data sets which may not be obvious at first. Furthermore, scatter diagrams can be used to further investigate possible relationships between the two variables..

[Audio] Scatter diagrams are used to evaluate the correlation between two quantitative variables. Each data point is plotted on a graph along two different axes, and depending on the relationship between the variables, scatter diagrams can show positive, negative, or no correlation. A positive correlation means that as one variable increases, so does the other. When there is a negative correlation, the one variable increases while the other decreases. In the absence of correlation, the dots on the graph will appear randomly scattered. Linear correlation occurs when two variables are related in a linear fashion..

[Audio] Scatter diagrams are effective tools for determining possible correlations between two distinct variables. A positive correlation scatter plot displays data points that, generally, move in the same direction when the values of one variable increase. This denotes that the two variables have a solid association, meaning that as one variable rises, the other too rises..

[Audio] A scatter diagram displays the relationship between two variables. This slide presents an example of a perfect positive correlation; when plotted, the data points create a straight line going from near the origin to high y-values, suggesting a strong relationship between the two variables..

[Audio] Scatter diagrams are an effective way to illustrate relationships between two variables. In this example, the scatter diagram exhibits a negative correlation; that is, as one variable increases, the other decreases. This can be useful in understanding the relationship between the two variables and making decisions or gaining insights based on that relationship..

[Audio] Scatter diagrams are an essential tool when it comes to analyzing data. This graph displays a clear negative correlation between two variables, which can be visualized by the line with a negative slope connecting the data points. This correlation means that as one variable increases, the other variable will decrease. Being able to recognize the correlation between two variables is instrumental in predicting upcoming trends and making forecasts..

A scatterplot with no correlation has data that does not follow a pattern, neither positive nor negative. The scatterplot shows points that follow no direction..

[Audio] A Scatter Diagram is a visual representation of data that displays the correlation between two or more variables. The scatterplot on this slide has a Linear Correlation, which means that the points on the diagram look like they are on a straight line. This type of correlation showcases that when one variable increases, the other variable also increases at around the same rate..

THANK YOU.