To analyze and interpret a line graph like the one you've provided, here’s how to approach it:

1. Understanding the Data Table:

The table shows scores ("Nilai") across five semesters ("Ujian Semester ke"). The data is as follows:

2. Plotting the Data in the Line Graph:

The line graph visually represents how the scores ("Nilai") change over the five semesters ("Ujian Semester ke"). The steps to plot such a graph are:

1. X-axis (horizontal): Represents the semester number (1, 2, 3, 4, 5).

2. Y-axis (vertical): Represents the score, ranging from 0 to 120 (based on the highest score in the table).

3. Points: For each semester, plot the corresponding score:

   • Semester 1: 80
   • Semester 2: 95
   • Semester 3: 60
   • Semester 4: 100
   • Semester 5: 85

4. Connecting the Points: Connect the points with straight lines to form the line graph.

3. Interpreting the Line Graph:

• The graph shows an increase from semester 1 to semester 2.
• A significant drop in semester 3.
• The score reaches a peak in semester 4.
• A slight drop from semester 4 to semester 5.

Step-by-Step Process:

1. Prepare the data: List the values for both the X and Y axes.
2. Mark points on the graph: Each semester corresponds to a score, so you place a dot at each semester and its respective score.
3. Draw the lines: Once all points are marked, connect them in sequence to show the trend across semesters.
4. Label the axes: X-axis as "Semester", Y-axis as "Nilai" (Score).
5. Analyze trends: Look for rises and falls in the graph, indicating performance improvements or declines.

Would you like more details on how to analyze this data further, such as calculating the average or identifying trends?

Here are 5 related questions:

1. How can you calculate the average score over the five semesters?
2. What is the significance of the drop in semester 3, and how can it be analyzed further?
3. Can you predict future performance based on the trends observed in the graph?
4. How does the range of scores (difference between highest and lowest) affect interpretation?
5. How could you improve performance if this was your data over time?

Tip: Visualizing data using graphs can help quickly identify trends and outliers that may not be obvious from raw numbers.