# ✅ Quiz M4.02
```{admonition} Question
If we fit a linear regression where `X` is a single column vector, how many
parameters our model will be made of?
- a) 1
- b) 2
- c) 3
_Select a single answer_
```
+++
```{admonition} Question
If we train a scikit-learn `LinearRegression` with `X` being a single column
vector and `y` a vector, `coef_` and `intercept_` will be respectively:
- a) an array of shape (1, 1) and a number
- b) an array of shape (1,) and an array of shape (1,)
- c) an array of shape (1, 1) and an array of shape (1,)
- d) an array of shape (1,) and a number
_Select a single answer_
```
+++
```{admonition} Question
The decision boundaries of a logistic regression model:
- a) split classes using only one of the input features
- b) split classes using a combination of the input features
- c) often have curved shapes
_Select a single answer_
```