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The image you've uploaded contains two scatter plots and two questions related to bivariate correlation analysis (scatter plot analysis). Let's go through each one.

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**Question 13:**
The scatter plot for question 13 shows a downward curve. The data points start high on the y-axis and fall as they move to the right, resembling a negative curved pattern.

The question asks:
*"Bagaimana jenis korelasi yang terbentuk pada diagram pencar tersebut?"*
Translation: "What type of correlation is formed on the scatter plot?"

Options:
- a) Korelasi positif kurva (Positive curved correlation)
- b) Korelasi negatif kurva (Negative curved correlation)
- c) Tidak ada korelasi (No correlation)
- d) Korelasi negatif linier (Negative linear correlation)
- e) Korelasi positif linier (Positive linear correlation)

**Answer:** 
The pattern is a **negative curved correlation** because the y-values decrease as x-values increase in a curved manner. So, the correct answer is **b) Korelasi negatif kurva**.

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**Question 14:**
The scatter plot for question 14 shows an upward curve. The data points start low on the y-axis and rise as they move to the right, resembling a positive curved pattern.

The question asks:
*"Bagaimana jenis korelasi yang terbentuk pada diagram pencar tersebut?"*
Translation: "What type of correlation is formed on the scatter plot?"

Options:
- a) Korelasi negatif linier (Negative linear correlation)
- b) Korelasi positif kurva (Positive curved correlation)
- c) Tidak ada korelasi (No correlation)
- d) Korelasi negatif kurva (Negative curved correlation)
- e) Korelasi positif linier (Positive linear correlation)

**Answer:**
The pattern is a **positive curved correlation** because the y-values increase as x-values increase in a curved manner. So, the correct answer is **b) Korelasi positif kurva**.

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Would you like further clarification on any concepts?

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**Related Questions:**
1. What is the difference between linear and curved correlation?
2. How do you calculate the correlation coefficient for a set of data?
3. What causes data to exhibit curved rather than linear patterns?
4. Can scatter plots with no clear pattern still show significant correlation?
5. How can outliers affect the interpretation of correlation?

**Tip:** Always consider both the direction (positive or negative) and the shape (linear or curved) of the data when analyzing scatter plots for correlations.

The image you've uploaded contains two scatter plots and two questions related to bivariate correlation analysis (scatter plot analysis).

Explore the analysis of bivariate correlation with two specific scatter plots. The scatter plot for question 13 shows a negative curved correlation, while question 14 shows a positive curved correlation. This guide is ideal for high school students studying statistics.

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