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Coursera Data Mining Models Quiz 3
Q1. According to the reading, the output of a data mining exercise largely depends on:
A. The data scientist
B. The quality of the data
C. The scope of the project
D. The programming language used
Answer : The quality of the data
Q2. Prior Variable Analysis and Principal Component Analysis are both examples of a data reduction algorithm.
A. True
B. False
Answer : False
Q3. After the data are appropriately processed, transformed, and stored, what is a good starting point for data mining?
A. Machine learning.
B. Data Visualization.
C. Non-parametric methods.
D. Creating a relational database
Answer : Data Visualization.
Q4. When data are missing in a systematic way, you can simply extrapolate the data or impute the missing data by filling in the average of the values around the missing data.
A. True
B. False
Answer : False
Q5. “Formal evaluation could include testing the predictive capabilities of the models on observed data to see how effective and efficient the algorithms have been in reproducing data.” This is known as:
A. Prototyping.
B. Overfitting.
C. In-sample forecast.
D. Reverse engineering.
Answer : In-sample forecast
Q6. What is an example of a data reduction algorithm?
A. Cojoint Analysis.
B. A/B Testing.
C. Prior Variable Analysis.
D. Principal Component Analysis.
Answer : Principal Component Analysis
Q7. After the data are appropriately processed, transformed, and stored, machine learning and non-parametric methods are a good starting point for data mining.
A. True
B. False
Answer : False
Q8. In–sample forecast is the process of formally evaluating the predictive capabilities of the models developed using observed data to see how effective the algorithms are in reproducing data.
A. True
B. False
Answer : True
Coursera Regression Models Quiz 3
Q1. Based on the reading, which of the following best describes the real added value of the author’s research on residential real estate properties?
Q2. Regression is a statistical technique developed by Blaise Pascal.
Q3. According to the reading, the author discovered that an additional bedroom adds more to the housing prices than an additional washroom.
Q4. The author discovered that houses located more than 2.5 kms to shopping centers sold for less than the rest.
Q5. Based on the reading, which of the following are questions that can be put to regression analysis?
Q6. The author discovered that, all else being equal, houses located less than 5 kms but more than 2.5 kms to shopping centres sold for more than the rest.
Q7. The real added value of the author’s research on residential real estate properties is quantifying people’s preferences of different transport services.
Q8. Regression is a statistical technique developed by Sir Frances Galton.
Q9. What did the author’s research reveal about proximity to large shopping centers?