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Scan the QR code or visit the following link to watch the video:
Applications of Regression - Machine Learning in Action
https://www.youtube.com/watch?v=Y5xHUNCwX_4
After watching the video, answer the following questions:

1. In which real-world domains (finance, healthcare, marketing, etc.) did the video show
regression being applied, and why is it useful there?
2. After watching the video, what is one problem in everyday life or school you think you could
try modeling with regression?
3. Which domain was explicitly mentioned in the video as using regression for predictions?
a. Astronomy b. Marketing
c. Linguistics d. Robotics

4. Which is a strength of regression models as highlighted in the video?
a. They always outperform neural networks
b. They are simple and interpretable
c. They require no data preprocessing
d. They can only handle binary outputs

5. What is a potential drawback of regression models mentioned or implied?
a. They cannot be used in finance
b. They are unable to model non-linear relationships well (unless extended)

c. They always overfit
d. They do not need any assumptions
6. When regression is used in healthcare, it is often for:
a. Predicting disease categories (classification)
b. Predicting a continuous measurement, like blood pressure or cholesterol levels

c. Clustering patients into groups
d. Translating medical documents

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