Question

(dataset Wine.csv) 1. Present summary of data and perform some

initial graphs. Interpret the results. 2. Perform correlation
analysis and generate a correlogram graph. Interpret the
results.

Answer 1

To perform initial graphs and interpret the results, you can create a scatter plot and calculate the least-squares line. The correlation coefficient can also be found to determine the significance of the correlation. The data from 1990 can be used to find the average CPI.

Step-by-step explanation:

Summary of data:

• The data consists of information from a dataset called Wine.csv.
• To perform initial graphs, you can create a scatter plot by plotting the data points.

Interpretation of results:

• A scatter plot can help you visualize the relationship between two variables in the dataset.
• The least-squares line is a line that best fits the data points in the scatter plot. It can be calculated using linear regression.
• The equation of the least-squares line is in the form ý = a + bx, with a representing the y-intercept and b representing the slope.
• The correlation coefficient measures the strength and direction of the linear relationship between the two variables. It ranges from -1 to 1, with 0 indicating no correlation.
• To determine if the correlation coefficient is significant, you can check if it is close to -1 or 1, indicating a strong correlation, or if it is close to 0, indicating no significant correlation.