Fundamentals of Data Analysis

What is the primary purpose of Linear Regression in data analysis?

• To classify data into distinct categories.

• To visualize data trends in a scatter plot.

• To predict the value of a dependent variable based on one or more independent variables.

• To analyze the correlation between two variables.

Which of the following is a characteristic of Logistic Regression?

• It requires a linear relationship between variables.

• It predicts continuous outcomes.

• It predicts probabilities for binary outcomes.

• It can only be used for multi-class classification.

What does the term 'outlier' refer to in data analysis?

• A data point that is significantly different from other observations in a dataset.

• A data point that is always the highest value in a dataset.

• A data point that represents the most common observation.

• A data point that is the average of all observations.

Which method is commonly used for dimensionality reduction?

• Linear Regression

• Principal Component Analysis (PCA)

• Support Vector Machines

• K-Means Clustering

What is the main goal of data visualization?

• To create complex algorithms for data processing.

• To store data in a more compact format.

• To generate random data for testing purposes.

• To make data easier to understand and interpret.