Discuss two different techniques each for conducting—(i) Bivariate analysis and (ii) Multivariate analysis.

Bivariate Analysis Techniques:

Bivariate analysis involves the analysis of two variables to determine the empirical relationship between them. Here are two techniques commonly used in bivariate analysis:

1. Scatter Plots and Correlation Analysis:

Technique: Scatter plots are graphical representations of the relationship between two variables. Each point on the plot represents an observation, with one variable plotted on the x-axis and the other on the y-axis. Scatter plots help in visualizing patterns, clusters, or trends in the data. Correlation analysis, on the other hand, quantifies the strength and direction of the relationship between two continuous variables.

Procedure:
1. Creating Scatter Plot: Plot the values of one variable on the x-axis and the other variable on the y-axis. Each data point represents the values of both variables for a specific observation.
2. Correlation Coefficient: Calculate the correlation coefficient (usually denoted by \(r\)) to quantify the strength and direction of the linear relationship between the two variables. The correlation coefficient ranges from -1 to 1, where -1 indicates a perfect negative correlation, 1 indicates a perfect positive correlation, and 0 indicates no correlation.

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