https://file.aiquickdraw.com/mathbot/file/1727310497143iqar29mh.jpg

The image shows a table with two columns: the first represents "Resolusi (megapixel / MP)" and the second represents "Harga (juta rupiah)". The task in part (a) asks to determine a linear estimation based on this data.

### Data extracted:
- **Resolusi (MP)**: 13, 15, 20, 24, 30, 32, 38, 40, 48, 60
- **Harga (juta rupiah)**: 1.2, 1.5, 1.5, 2, 2.1, 2.5, 3, 3.2, 3.5, 4

To calculate the linear estimation, we can use linear regression, where we fit a line to the data in the form:
\[
y = mx + c
\]
Where:
- \(y\) is the price (Harga),
- \(x\) is the resolution (Resolusi),
- \(m\) is the slope, and
- \(c\) is the intercept.

Let me calculate this regression for you.The linear estimation for the data can be represented by the equation:

\[
y = 0.0625x + 0.4504
\]

where:
- \(y\) is the estimated price in juta rupiah,
- \(x\) is the resolution in megapixels.

This equation allows you to predict the price based on the resolution of the camera.

Would you like more details or have any questions? 

Here are some related questions:
1. How do you calculate the accuracy of this linear estimation?
2. How would you estimate the price for a 50 MP camera using this model?
3. What is the correlation between the resolution and the price?
4. How would this model change with more data points?
5. Can you plot the actual and estimated prices based on this model?

**Tip**: In regression, always check the residuals to assess the goodness of fit.

Tentukan estimasi linear dari data di atas (resolusi kamera dalam megapixel dan harga dalam juta rupiah).

Determine a linear estimation from the provided data of camera resolution (in megapixels) and price (in juta rupiah). This involves applying the linear regression formula to find the relationship between camera resolution and price.

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