MOAS ASSIGNMENT FD44

[Audio] Introduction to Correlation An overview of correlation and its significance in data analysis by AJAY JAYHIND GHADGE FD44.

[Audio] Definition of Bivariate Data Two Variables Data involving two variables or attributes Scatter Plot Visual representation of bivariate data Real-world Example Application of bivariate data in a practical scenario.

[Audio] Explanation of Scatter Diagram Visual Representation Graphical illustration of data points on a coordinate system Relationship Clarity Clear depiction of the relationship between two variables Pattern Identification Identification of patterns and trends within the data.

[Audio] Positive Correlation and Its Representation 1 Direct Relationship Both variables increase or decrease together 2 Upward Trend Graph displays an upward trend from left to right 3 Strength Variation Variation in the strength of positive correlation.

[Audio] Negative Correlation and Its Representation 1 Inverse Relationship Variables move in opposite directions 2 Downward Trend Graph demonstrates a downward trend from left to right 3 Strong vs. Weak Comparison between strong and weak negative correlation.

[Audio] No Correlation and Its Representation Random Scatter Data points scattered randomly on the graph Null Association No clear association between the variables Irrelevant Trend Lack of any discernible trend or pattern.

[Audio] Strength of Correlation and Its Representation 1 Weak Correlation Scattered and loosely clustered data points 2 Moderate Correlation Reasonably structured relationship between variables 3 Strong Correlation Tightly clustered and closely related data points.

[Audio] Conclusion and Summary of Types of Correlation Positive Both variables move in the same direction Negative Variables move in opposite directions No Correlation No clear relationship between variables.