BA_Week67

What is Predictive Analytics primarily used for?

• Describing past data

• Predicting future outcomes

• Organizing data into categories

• Visualizing data patterns

Which of the following is not a step in the predictive analytics workflow?

• Data collection

• Model building

• Creating new data

• Model evaluation

Predictive analytics relies on which of the following techniques to make predictions?

• Neural networks

• Statistical algorithms and machine learning

• Big data infrastructure only

• Spreadsheets

In linear regression, the dependent variable is also called the:

• Coefficient

• Target

• Feature

• Parameter

Which equation correctly represents a linear regression model?

• Y=β0+β1X1+ϵY = \beta_0 + \beta_1X_1 + \epsilonY=β0​+β1​X1​+ϵ

• Y=X0+X1+ϵY = X_0 + X_1 + \epsilonY=X0​+X1​+ϵ

• Y=α0+α1X1Y = \alpha_0 + \alpha_1X_1Y=α0​+α1​X1​

• Y=β1X1+ϵ+β0Y = \beta_1X_1 + \epsilon + \beta_0Y=β1​X1​+ϵ+β0​

In the equation for a linear regression model, β0\beta_0β0​ represents:

• A feature

• The error term

• The intercept

• The slope of a line

Which model is more suitable for predicting continuous outcomes like house prices?

• Logistic regression

• Decision trees

• Linear regression

• K-means clustering

Logistic regression is used for:

• Predicting numerical outcomes

• Binary classification problems

• Predicting multiple continuous outcomes

• Time series forecasting

What is the target variable in the Boston Housing Dataset?

• PRICE (Median value of homes)

• CRIM (Crime rate)

• RM (Average number of rooms)

• TAX (Property tax rate)

Which of the following features in the Boston Housing Dataset represents pollution levels?

• NOX

• CHAS

• AGE

• LSTAT