Multiple linear regression Flashcards
Q: What is the multiple linear regression model used for?
A: These denote the multiple features used to predict the target variable.
Q: What is the interpretation of the parameter b in the model?
A: The base price or starting value of the prediction when all features are zero.
Q: How is the vector Xi defined in multiple linear regression?
A: It is a list (or vector) of features for the i-th training example.
Q: What does the dot product W⋅X represent in this model?
A: It is the sum of the products of corresponding features and weights.
Q: What is the name of this type of linear regression model?
A: Multiple linear regression.
Q: What notation is sometimes used to indicate that W and X are vectors?
A: An arrow above the variable.
Q: What is the benefit of using the dot product notation in multiple linear regression?
A: It allows the model to be written in a more compact and succinct form.
