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The problem presented asks to estimate the amount saved when the pocket money received is Rp 27,000, using the regression line equation derived from the data in the table.

### Data provided:
- **Pocket Money (Uang Saku)** and **Savings (Uang yang Ditabung)**:
  | Pocket Money | Savings |
  |--------------|---------|
  | 10           | 2       |
  | 15           | 3       |
  | 20           | 4       |
  | 25           | 5       |
  | 28           | 6       |
  | 30           | 7       |
  | 31           | 7       |
  | 33           | ?       |

### Steps to solve the problem:
1. **Find the equation of the regression line** (linear equation in the form of \( y = mx + c \), where \( y \) is the savings, \( x \) is the pocket money, \( m \) is the slope, and \( c \) is the intercept).
2. **Use the least squares method** to calculate the slope and intercept based on the given data.
3. **Estimate the savings for Rp 27,000** using the regression equation.

Let me calculate the regression equation using the least squares method.The regression line equation based on the given data is:

\[
y = 0.242x - 0.635
\]

Where:
- \( y \) is the savings
- \( x \) is the pocket money

For pocket money of Rp 27,000, the estimated savings is approximately:

\[
y = 0.242(27) - 0.635 \approx 5.89
\]

So, the closest answer to the estimated savings is **Rp 5,800** (Option D).

Do you have any further questions or would you like more details?

Here are 5 related questions:
1. How is the least squares method used to calculate the slope and intercept of the regression line?
2. What does the slope of the regression line represent in this context?
3. How would the regression line change if we added more data points?
4. What is the coefficient of determination (R²) and how can we calculate it?
5. How do you calculate residuals in regression analysis?

**Tip**: Regression analysis helps find patterns in data and is widely used in forecasting and financial estimations.

Program gemar menabung digalakkan sejak dini terhadap anak sekolah. Estimasi uang yang ditabung saat uang saku yang diterima sebesar Rp 27,000 berdasarkan garis regresi.

Learn how to estimate savings based on pocket money using regression analysis. Given the data, this example shows how to apply linear regression to find the estimated savings for Rp 27,000 pocket money. Suitable for high school students.

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