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Which of the following assumptions do we make while deriving linear...

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Machine Learning
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Which of the following assumptions do we make while deriving linear regression parameters?
1. The true relationship between dependent y and predictor x is linear
2. The model errors are statistically independent
3. The errors are normally distributed with a 0 mean and constant standard deviation
4. The predictor x is non-stochastic and is measured error-free

Answer & Solution
Correct Answer: Option D
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