Linear Regression Quiz

What is the primary goal of linear regression in data science?

• To classify data into categories

• To predict a continuous outcome

• To reduce the dimensionality of data

• To cluster data into groups

Which Python library is commonly used for implementing linear regression?

• NumPy

• Matplotlib

• Scikit-learn

• Pandas

In the context of linear regression, what does the term "residual" refer to?

• The slope of the regression line

• The difference between the observed and predicted values

• The intercept of the regression line

• The total sum of squares

Which function in Scikit-learn is used to create a linear regression model?

• `LinearRegression()`

• `LogisticRegression()`

• `KMeans()`

• `PCA()`

What is the equation of a simple linear regression model?

• The y-intercept

• The slope of the line

• The dependent variable

• The independent variable

Which method is used to fit a linear regression model in Scikit-learn?

• `fit()`

• `transform()`

• `predict()`

• `score()`

What is the purpose of the `predict()` method in a linear regression model?

• To train the model

• To evaluate the model's performance

• To make predictions based on the model

• To visualize the data

In Python, which library is used to handle data manipulation and analysis, often used in conjunction with linear regression?

• TensorFlow

• Pandas

• Seaborn

• Keras

If x is temperature and y is coffee sales, use the following formula to determine the coffee sales on a 34° day.

y = -60x+6443

• $4403

• $4673

• $8483

• $6443