1. When do we use regression analysis?
2. Using the following regression model, explain the characteristics (i.e., meaning and/or data type) of each component:
· y and
· x and
3. Discuss the assumptions of a regression model.
4. How do we estimate the parameters?
5. Why do we need to reduce the number of predictors?
6. What measures are used to evaluate the model fit/performance of estimation data?
7. How can we use a discrete variable as one of the predictors?
8. How do we know whether the coefficient (i.e. is significant or not? (in other words, how do we conduct a t-test?)
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