Coursera Data Science Quiz Answers – Question 1: Fill in the blanks with the correct option: Logistic regression is a ____________ regression technique used to model data that results in ________
Question 3: Which of the following is a way to find the line of best fit to the regression data?
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Question 4: Which of the following manipulation hypotheses is most likely to affect the trade-off between under- and over-supply?
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Question 7: Q10. Which of the following graphs is best for testing a linear relationship between the continuous variables y(dependent) and x(independent)?
Question 8: Which of the following is true about the “Ridge” or “Lasso” method of feature selection?
Question 9: Which of the following is true about ‘regression’ and ‘correlation’? Note: y is the dependent variable and x is the independent variable.
Question 11: Which of the following processes of modeling/assumptions most affect the trade-off between under- and over-supply?
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Question 12: Assume that the “linear regression” model fits the training data perfectly (the training error is zero). Which of the following statements is correct?
Question 15: Which of the following is true when using a bag for reclining trees? 1. We construct N regressions with N bootstrap samples. 2. Let’s take the average of N regression trees. 3. Each tree has high variance and low bias. We and our partners use cookies to store and/or use data on devices. We and our partners use the data for customized ads and content, ad and content measurement, audience data and product development. An example of processed data may be a unique identifier stored in a cookie. Some of our business partners may process your data as part of their legitimate business interests without your consent. You can view the purposes for which they believe they are entitled, or object to this data processing, using the provider list link below. The consent given is only used for data processing from this website. If you want to change your preferences or withdraw your consent at any time, the link is in our privacy policy, which you can access from our homepage.
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Module 1: Introduction to Models Quiz, 10 questions Question 1 1 point 1. Question 1 Which of the following characteristics is NOT usually associated with quantitative models of business processes? Mathematical division A formal description of a business process 100% accurate representation of a business process Question 2 1 point 2. Question 2 What activities can be used in a quantitative model? (i) forecasting (ii) targeting (iii) Optimization (i) (i), (ii) and (iii) (ii) and (iii) Schlumberger-Private (i) and (ii) Question 3 1 marks 3. Question 3 Which of the following activities is NOT part of the modeling process? Model development Sensitivity analysis Validation Designing the model so that the results are consistent with our previous expectations Question 4 1 point 4. Question 4 If the model gives different results even though the inputs are the same, what kind of model should it be? that? Deterministic Probabilistic Dynamic Discrete Question 5 1 point Schlumberger-Private 5. Question 5 What is the main difference between digital and analog thermometers from a modeling perspective? A digital thermometer gives a discrete temperature reading, while an analog thermometer gives a continuous one. A digital thermometer gives a continuous temperature reading, while an analog one gives a discrete one. Digital thermometers provide more accurate temperature readings. .
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