### Prompt for March 8

What does the least-squares algorithm do? How do model parameters have on the quality of our estimates

Project 2 has been released. Check out your project group and mentors on Campuswire. HW5 due on Tuesday.

Check out 538's article on science trustworthiness.

Recall some assumptions made when doing a linear regression:

- The mean of the response, 𝐸(𝑌𝑖), at each set of values of the predictors, (𝑥1𝑖,𝑥2𝑖,…), is a Linear function of the predictors.
- The errors, ε𝑖, are Independent.
- The errors, ε𝑖, at each set of values of the predictors, (𝑥1𝑖,𝑥2𝑖,…), are Normally distributed.
- The errors, ε𝑖, at each set of values of the predictors, (𝑥1𝑖,𝑥2𝑖,…), have Equal variances (see heteroscedasticity)

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