Evaluate Quiz 5_ DATA1001 Foundations of Data Science

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Apr 3, 2024

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30/03/2024, 20:17 Evaluate Quiz 5: DATA1001 Foundations of Data Science https://canvas.sydney.edu.au/courses/48435/quizzes/215386 1/2 Evaluate Quiz 5 Due Mar 27, 2023 at 23:59 Points 5 Questions 5 Available Feb 20, 2023 at 9:00 - Mar 27, 2023 at 23:59 Time Limit 30 Minutes This quiz was locked Mar 27, 2023 at 23:59. Attempt History Attempt Time Score LATEST Attempt 1 16 minutes 5 out of 5 Score for this quiz: 5 out of 5 Submitted Mar 26, 2023 at 19:57 This attempt took 16 minutes. Question 1 1 / 1 pts comparing the weights of 2 types of oysters Correct! calibration curves for lipids predicting the temperature of sea water Question 2 1 / 1 pts True Correct! False Well done! Question 3 1 / 1 pts Sydney Data Stories: According to Mitch Gibbs, what is linear modelling used for in his oyster research? Is this true or false? "Since they are often more complicated to compute, nonlinear models ALWAYS offer a better fit to the data than linear models."
30/03/2024, 20:17 Evaluate Quiz 5: DATA1001 Foundations of Data Science https://canvas.sydney.edu.au/courses/48435/quizzes/215386 2/2 Correct! 6.7 Correct Answer 6.7 margin of error +/- 0.1 Fantastic! Question 4 1 / 1 pts A scatter plot of price and distance is linear, and the residual plot is not linear. A scatter plot of price and distance is mostly linear, and the residual plot is mostly linear. Correct! A scatter plot of price and distance is mostly linear, and the residual plot shows no trend. A scatter plot of price and distance is linear, and the residual plot is linear. Question 5 1 / 1 pts 0 Correct! 7 5 17 Quiz Score: 5 out of 5 Given data of size 2, where the 2 values have residuals of 5 and 8, what is the population RMS error? Please answer correct to 1 dp. It is hypothesised that the second-hand market sale price of a certain vehicle decreases linearly with the distance (kms) travelled. Data is stored in price (y) and distance (x), where both variables are in 1000s of units (dollars and kms). The following linear model is produced: y= 40 - 5x with a correlation coefficient of -0.8. What plots would support this hypothesis? Using the olympics data with the filter function, determine how many women in the dataset are from the USA.
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