Data Analytics Program Quiz 3

Data Analytics Quiz 3

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1. Which of the following best describes statistical analysis in data analytics?

It is used exclusively for making predictions

It replaces the need for data preprocessing

It focuses only on visualizing data trends

It involves collecting, analyzing, and interpreting data to identify patterns and relationships

2. What does a high correlation coefficient (close to +1 or -1) indicate in regression analysis?

A cause-and-effect relationship between the variables

No relationship between the variables

A weak linear relationship between variables

A strong linear relationship between variables

3. Which assumption is essential when building a linear regression model?

The regression line must pass through the origin

The residuals (errors) should be normally distributed

The independent and dependent variables must be unrelated

The dataset must contain only categorical variables

4. Which of the following best describes the purpose of data visualization?

To communicate insights effectively through graphical representation

To replace statistical analysis with visual trends

To convert categorical data into numerical data

To summarize data using tables only

5. Which predictive analytics technique is commonly used for classifying data into categories?

K-Nearest Neighbors (KNN)

Linear Regression

Time Series Analysis

Principal Component Analysis (PCA)

6. When evaluating a predictive model, what is the primary purpose of using a confusion matrix?

To assess the accuracy of classification models

To visualize the correlation between different features

To perform feature selection for regression analysis

To determine the optimal number of clusters in clustering analysis

7. Which of the following is a key step in building predictive models?

Applying machine learning without data preprocessing

Using only linear regression for all predictive tasks

Ignoring missing values to ensure original data integrity

Splitting data into training and testing sets

8. What is the fundamental goal of machine learning in data analysis?

To manually program decision-making rules

To apply only statistical methods for prediction

To enable systems to learn from data and improve performance over time

To eliminate the need for human intervention in data analysis

9. Which machine learning algorithm is best suited for making predictions based on past data trends?

Association Rule Mining

Decision Trees

K-Means Clustering

Random Forest Regression

10. Which evaluation metric is commonly used to measure the performance of a regression model?

Precision

Mean Squared Error (MSE)

Recall

Accuracy

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Data Analytics Program Quiz 3

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