Wearable Technologies and Sports Analytics Coursera Quiz Answers 2023 [💯% Correct Answer]

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Here, you will find Wearable Technologies and Sports Analytics Exam Answers in Bold Color below.

These answers are updated recently and are 100% correct✅ answers of all week, assessment, and final exam answers of Wearable Technologies and Sports Analytics from the Coursera Free Certification Course.

Wearable Technologies and Sports Analytics Quiz Answers

Week 1: Wearable Technologies and Sports Analytics Coursera Quiz Answers

Quiz 1: Do You Know Your Wearables?

Q1. A MOXY device measures muscle oxygen levels during exercise. What kind of wearable device is it?

MOXY device

  • Internal sensor
  • External sensor
  • Both
  • Neither

Q2. This Athos sensor records muscle activation. What kind of wearable device is it?

Athlete bench pressing while wearing Athos shirt with a graphic overlay to show a virtual grid with muscle activation
Two athletes wearing Athos sensors, with a screenshot of the muscle activation metrics calculated by the Athos app.Two athletes, one only visible from waist up wearing the Athos shirt and the second in a starting run position, with a screenshot of the Athos app and the recorded muscle activation.

  • Internal sensor
  • External sensor
  • Both
  • Neither

Q3. A Stryd device records your acceleration. What kind of wearable device is it?

Stryd device attached to the top of the laces of a running shoe.

  • Internal sensor
  • External sensor
  • Both
  • Neither

Q4. The Vert device records the height of a jump. What kind of wearable is this?

Volleyball player wearing a Vert sensor on their waist next to an image of the Vert app’s homescreen showing jump metrics.Vert device attached at the waist of a volleyball player and an accompanying image of the home screen of the Vert application showing the height of a player’s recent jump.

  • Internal sensor
  • External sensor
  • Both
  • Neither

Q5. If this long-distance runner was wearing a device that recorded Total Running Distance, what kind of wearable would it ideally be?

Long distance runner competing in race

  • Internal sensor
  • External sensor
  • Both
  • Neither

Q6. If this quarterback wanted to know how fast their heartbeat was during a game, what kind of wearable would they ideally use?

Quarterback running with a football

  • Internal sensor
  • External sensor
  • Both
  • Neither

Q7. If this napping student wanted to record their quality of sleep, what kind of wearable would they ideally use?

Student laying head on pillow at their desk with eyes closed.

  • Internal sensor
  • External sensor
  • Both
  • Neither

Q8. If this powerlifter wanted to know how much physical stress their body is experiencing, what kind of wearable would they ideally use?

Powerlifter lifting a heavy weighted barbell and all muscles flexing.

  • Internal sensor
  • External sensor
  • Both
  • Neither

Q9. If this volleyball player wanted to know how high each of their jumps are during a match, what kind of wearable would they ideally use?

Volleyball player jumping to hit the ball back over the net during a match

  • Internal sensor
  • External sensor
  • Both
  • Neither

Q10. If this basketball player wanted to record their skeletal muscle oxygen levels throughout their game, what kind of wearable would they ideally use?

Basketball player dribbling the ball past an opponent during a game

  • Internal sensor
  • External sensor
  • Both
  • Neither

Quiz 2: Analyzing an Entire Season of Jumping in Volleyball

Q1. The coaches are interested to see when their players are recording the highest jumps and which player averages the highest jumps. During what type of session and by which player position was the average highest jump recorded?

  • Game session by the middle blocker.
  • Scrimmage session by the outside hitter.
  • Practice session by the outside hitter.
  • Game session by the outside hitter.

Q2. VERT’s Alert Landing % measure is aimed to help prevent injury by detecting high impact landings. During which time frame of the season did the team record the highest Alert Landing percentages?

  • Week 10-Week 12
  • Week 6-Week 8
  • Week 12-Week 14
  • Week 8-Week 10

Q3. Elevated landings produce high stress on the body and can lead to injury. Which player might you suspect to be at greatest risk of injury given their mean elevated landing percentages?

  • Setter
  • Middle blocker
  • Outside hitter
  • Libero

Q4. During games, which player averages the most Jumps over 15 inches?

  • Middle blocker
  • Setter
  • Outside hitter
  • Libero

Week 2: Wearable Technologies and Sports Analytics Coursera Quiz Answers

Quiz 1: Do You Know Your External Wearables?

Q1. Instantaneous player load (PL) is the sum of three directions of which measure?

  • Velocity
  • Acceleration
  • Vertical height
  • Displacement

Q2. Vert devices use all but which of the following to determine jump landing impact?

  • Landing form
  • Footwear analysis
  • Landing force
  • Vertical jump height

Q3. If a track hurdler wanted to collect as much data as possible within a short period of time, which device should they ideally use?

Woman jumping over a hurdle at a track meet

  • BH3
  • Catapult
  • VERT
  • None of the above

Q4. If a volleyball player wanted an accurate count of how many times she has jumped this game, which device should they ideally use?

Volleyball player jumping up high with hand up and ready to spike the ball

  • BH3
  • Catapult
  • VERT
  • None of the above

Q5. If a coach wanted to track a specific team member’s player load throughout the season, which device should they ideally use?

Football player in uniform crouching at the beginning of a play, ready to move.

  • BH3
  • Catapult
  • VERT
  • None of the above

Q6. If a soccer player wanted to record his acceleration and heart rate at the same time from one device alone, which device should they ideally use?

Soccer goalie on the field at a match, carrying the ball to kick or throw it back into play.

  • BH3
  • Catapult
  • VERT
  • None of the above

Q7. If a basketball player wanted to know how high they were jumping over a few different jumps, which device should they ideally use?

Basketball player in the air after having jumped to dunk the ball into the net.

  • BH3
  • Catapult
  • VERT
  • None of the above

Q8. If an alpine skier wanted to record the peak acceleration of their turns while skiing down the slope, which device should they ideally use?

Downhill skier making a turn while skiing down a mountain.

  • BH3
  • Catapult
  • VERT
  • None of the above

Q9. If a volleyball player wanted to know the landing impact of their most recent jumps, which device should they ideally use?

One volleyball player jumps in the air to hit the ball over the net while their opponent jumps in preparation to block.

  • BH3
  • Catapult
  • VERT
  • None of the above

Q10. If the winning team was winning by a large margin at the beginning of the game (blowout victory), what do you expect the player load levels of those players to be in comparison to their season’s average player load levels?

  • A scoreboard of a basketball game with the defending home team leading with a score of 138 to 0.
  • They will show increased player load levels in comparison to their season averages.
  • They will show the same levels of player load in comparison to their season averages.
  • They will show lowered player load levels in comparison to their season averages.
  • It is unpredictable what could happen.

Quiz 2: Applying ACWR to a Soccer Team Dataset (Part 2)

Q1. The coaches had mentioned to you that they assumed that the players with the highest player load sum from the season would be midfielders. What portion of the top ten highest sum player loads were in fact midfielders?

  • All ten players in the top ten were midfielders.
  • 3/10
  • 7/10
  • 5/10

Q2. Who were the opponents on the days that the team went above the 1.5 ACWR threshold?

  • Marshall (8/22), Bowling Green (9/8), and Rutgers (11/8)
  • Indiana (9/29), Penn State (11/10), and North Carolina (11/24)
  • Purdue (9/27), Nebraska (10/6), and Michigan State (10/19)
  • Marquette (9/1), Wisconsin (10/3), and Northwestern (10/13)

Q3. ACWR and player load are often used to help predict injury risk for athletes. Which three players might the coaches recommend to see the athletic trainer for a preventative assessment? That is, which players have the highest player load in a session?

  • 45, 21, and 4
  • 66, 2, 10
  • 43, 62, and 4
  • 45, 21, and 66

Q4. What position does the player with the lowest cumulative player load (from the season) play?

  • Goalkeeper
  • Midfielder
  • Defender
  • Forward

Q5. How many times did the player with the highest cumulative player load surpass the 1.5 ACWR threshold?

  • 6 times
  • 5 times
  • 2 times
  • 1 time

Week 3: Wearable Technologies and Sports Analytics Coursera Quiz Answers

Quiz 1: Internal Measures and the Information They Provide

Q1. What does Heart Rate Variability (HRV) measure?

  • The amount of time between each individual heartbeat
  • The volume of fluid ejected from the heart with each beat
  • An individual’s heart rate when not exercising
  • The peak heart rate recorded during exercise

Q2. If a swimmer wanted to know how oxygen levels in his quadriceps muscles fluctuated over the course of his workout, which device would he ideally use?

  • A swimmer mid-stroke with torso emerging from the water, performing butterfly stroke
  • MOXY
  • WHOOP
  • Athos
  • Fitbit

Q3. If a professional weight lifter wanted to understand which lower limb muscles were contributing the most during her squat to thrust, which device would she ideally use?

Female athlete in the middle of a barbell squat to thrust

  • MOXY
  • WHOOP
  • Athos
  • Fitbit

Q4. Which of the following accurately represents the relationship between heart rate (HR) and exercise intensity?

  • Negative correlation
  • This correlation has not been tested
  • No correlation
  • Positive correlation

Q5. Which of the following is considered the best measure for detecting stress?

  • Breathing rate (BR)
  • Acceleration
  • SmO2
  • Heart rate variability (HRV)

Q6. In which of the following situations would it be the most ideal to measure muscle activation?

  • Evaluating exercise intensity
  • Predicting injury and injury risk
  • Coaching an athlete to perform a specific exercise movement
  • Evaluating muscle fatigue during exercise

Q7. If a cyclist wanted an analysis of their strain, which device would they ideally use?

  • Male athlete cycling on a road
  • MOXY
  • WHOOP
  • Athos
  • Fitbit

Q8. Smartwatches provide insight into an individual’s exertion balance. Which of the following is an accurate description of exertion balance?

  • A metric that analyzes the amount of one’s physical activity and inactivity
  • Heartbeats per minute
  • Analysis of sleep quantity and quality
  • A metric to study the relationship between pain and workload

Q9. Heart rate variability (HRV) response is different in fit vs. unfit individuals. With increased training stress, what is the response in fit individual

  • Fit individuals experience an increase in HRV with stress
  • Fit individuals are more resistant to changes in HRV
  • Fit individuals experience a decrease in HRV with stress
  • Fit individuals experience a decrease, then an increase in HRV

Q10. What is relative intensity?

  • The amount of effort needed to perform exercise relative to the overall capacity of the individual athlete
  • An intensity level value that can be generalized population-wide and is not specific to a particular athlete
  • A measure of the R-R interval
  • An analysis of one’s sleep quality

Quiz 2: Evaluating Game Intensity (Part 2)

Q1. Catapult devices are usually fairly reliable for heart rate data, but sometimes the data does not record properly. For how many recordings did the device produce a heart rate measure of zero?

  • About 300
  • About 70,000
  • About 4,500
  • Nearly 1 million!!

Q2. Which player had the highest % of missing HR data?

  • Athlete 9
  • Athlete 11
  • Athlete 13
  • Athlete 10

Q3. Approximately how many minutes into the collection did the half-time period appear to have occurred?

  • Approximately 66 minutes
  • Approximately 36 minutes
  • Approximately 120 minutes
  • Approximately 166 minutes

Q4. Which player had the 5th highest TRIMP score?

  • Athlete 5
  • Athlete 9
  • Athlete 8
  • Athlete 1

Q5. The data from March 8th showed a big gap between the 4th and 5th highest player loads. The top 4 players based on TRIMP and playerload from March 8th were Athletes 1, 5, 9 and 10. These 4 players also appear in the top 5 players from March 9th, with one additional player. Which player was this?

  • Athlete 10
  • Athlete 7
  • Athlete 4
  • Athlete 2

Week 4: Wearable Technologies and Sports Analytics Coursera Quiz Answers

Quiz 1: Internal and External Metrics

Q1. Which option describes the relationship between internal and external measures?

  • There is no relation known between external and internal measures
  • Weather can influence external measures
  • Internal measures can cause direct changes in external measures
  • External measures can cause direct changes in internal measures

Q2. Which of the following is the most common external metric?

  • Accelerometry
  • Player load
  • Jump height
  • Velocity

Q3. External measures provide information about , while internal measures provide information about .

  • The athlete’s effort in doing an activity; what the athlete did or is doing
  • The athlete’s aerobic capacity; the athlete’s anaerobic capacity
  • What the athlete did or is doing; the athlete’s effort in doing it
  • Muscle oxygenation; accelerometry

Q4. Which of the following situations could lead to unreliable GPS data?

  • Athlete is walking down a city block
  • Athlete is running steadily through a park
  • Athlete is running through an underground tunnel
  • Athlete is increasing speed running on a track

Q5. Which of the following metrics can be used as an indication of aerobic fitness level?

  • Two cross-country runners running along a path during a race.
  • SmO2
  • Resting Heart Rate
  • VO2 Max
  • Breathing Rate

Q6. During a recovery period between high intensity exercise intervals, it is common to see heart rate decrease by how many beats per minute?

  • 10-20 beats per minute
  • 40-50 beats per minute
  • 90-100 beats per minute
  • 200 beats per minute

Q7. Which of the following is a commonly used external metric for training stress in cyclists?

Male athlete cycling on a road

  • Normalized power
  • Heart Rate Variability
  • VO2 Max
  • SmO2

Q8. Which of the following is a commonly used internal metric for training stress in cyclists?

Four cyclists racing in a competition.

  • Heart Rate Variability
  • Breathing rate
  • Efficiency factor
  • Player Load

Q9. What happens to SmO2 during high power efforts?

Female athlete in the middle of a barbell squat to thrust

  • SmO2 Increases
  • SmO2 Decreases
  • SmO2 remains constant
  • There is no relationship between SmO2 and high power efforts

Q10. “Metabolic power,” used by catapult sports, incorporates which two metrics to understand external load?

  • SmO2 and Accelerometry
  • Resting HR and maximum HR
  • Heart Rate Variability and athlete’s BMI
  • Accelerometry and GPS data

Quiz 2: Calculate a “Training Intensity Variable” Using External Load and HR Data for a Field Hockey Team (Part 2)

Q1. What is the total number of rows in the dataset? How many rows are there with HR zero?

  • Approximately 200; approximately 40
  • Approximately 3 million; approximately 522,000
  • Approximately 5.2 million; approximately 464,000
  • Approximately 100,000; approximately 4 million

Q2. How many subjects had 100% of HR data missing? How many had less than 10% missing?

  • None; 10 subjects
  • 3 subjects; 6 subjects
  • 10 subjects; no subjects
  • 5 subjects; 7 subjects

Q3. How did the correlation between the (30, 60 and 90 sec) rolling player load change value and heart rate compare between this date – and the date used in the workbook?

  • The correlation was stronger for this date.
  • The correlation was weaker for this date.
  • The correlation did not change between dates.
  • The correlation doubled.

Q4. Which graph of playerload change versus heart rate is the most peculiar?

  • Graph for athlete 6.
  • Graph for athlete 15
  • Graph for athlete 20
  • Graph for athlete 9.

Q5. Using the slope and intercept that you have calculated and only the athletes that had good HR data for both the workbook and the assessment (9/30 and 8/19), determine which players would be predicted to have the highest capacity (playerload/min) at 150 and 180 beats per minute.

  • Athletes 3 and 6
  • Athletes 15 and 6
  • Athletes 13 and 19.
  • Athletes 15 and 19

Week 5: Wearable Technologies and Sports Analytics Coursera Quiz Answers

Quiz 1: Global Metrics

Q1. Which of the following is considered a global metric, as opposed to a direct measurement?

  • Body Battery
  • Heart Rate
  • SmO2
  • Accelerometry

Q2. Which of the following is a noninvasive means of predicting core temperature?

  • Breathing Rate
  • Accelerometry
  • Heart Rate
  • Sleep Cycles

Q3. Which of the following is required for a “Gold Standard” measure of VO2max?

  • Polygraph test
  • Polysomnogram
  • Maximal exercise test
  • Temperature measured at the core

Q4. If a Fitbit user wanted to increase their calculated Energy Expenditure, which of the following might they do?

The screen of a Fitbit device displaying the date and time as well as some additional health metrics.The screen of a Fitbit device displaying the date and time as well as metrics that include steps taken, heart rate, and calories burned.

  • Decrease caloric intake
  • Activate specific muscle groups
  • Increase jump height
  • Increase daily steps

Q5. What is one current method for predicting dehydration?

  • A man drinking water from a water bottle while standing outside.
  • Analyze sleep stages
  • Analyze heart rate variability
  • Measure of sweat at the skin
  • Measure of accelerometry data

Q6. Which of the following contributes to the majority of the energy expenditure metric?

  • Basal Metabolic Rate
  • Physical Activity
  • Diet Induced Thermogenesis (DIT)
  • Core temperature

Q7. Which measure is typically analyzed in order to determine Stress Score, based on the devices discussed in lecture?

  • Heart Rate Variability
  • SmO2
  • VO2 max
  • Accelerometry

Q8. Which of these is a noted danger of Global Metrics?

  • They are unsafe considerations for the user
  • They have no measurable components
  • They are not a direct measurement and not always validated
  • They lead to weight gain

Q9. Which of the following metrics typically utilizes heart rate, movement, AND the sleep stages?

  • A person sleeping.
  • Body Battery
  • Stress Score
  • These measures are never used together
  • Sleep Score

Q10. If an athlete’s “Body Battery” score is 99, what type of training might you consider them ready for?

  • Moderate exercise
  • Vigorous exercise
  • Very light exercise
  • Resting and stretching

Quiz 2: Performance Metrics Assessment Quiz

Q1. What was the approximate max acceleration for athlete #15?

  • 11
  • 7
  • 14
  • 9

Q2. What was the highest Z-score of any of the athletes on any of the 3 performance measures?

  • Athlete 7 for 20 second distance traveled
  • Athlete 22 for 20 second distance traveled
  • Athlete 12 for 20 second distance traveled
  • Athlete 10

Q3. Which athlete had the lowest score on the performance metric overall? (on the “new” criteria as part of the assessment?)

  • Athlete 12
  • Athlete 22
  • Athlete 15
  • Athlete 10

Q4. Which athlete was in the top 2 both times (assessment and workbook)?

  • Athlete 6
  • Athlete 22
  • Athlete 15
  • Athlete 12

Q5. What is the overall performance metric score for the player with the highest catapult player load?

  • 10.96
  • 5.63
  • 11.38
  • 12.89

We will Update These Answers Soon.

About The Coursera

Coursera, India’s largest online learning platform, started offering students millions of free courses daily. These courses come from a number of well-known universities, where professors and industry experts teach very well and in a way that is easier to understand.

About Wearable Technologies and Sports Analytics Course

There are now huge amounts of data from athletes and teams that can be used to measure both training and competition efforts. Athletes wear technology devices every day, which makes it possible to learn a lot about how they handle stress and recover over the course of an entire season. The collection of these big data sets has led to new ideas and plans for preventing injuries, as well as detailed feedback for athletes to help them try to improve their training and recovery.

This course is an introduction to wearable technology devices and how they can be used in training and competition as part of the larger field of sport sciences. It gives an overview of the physiological principles that apply to exercise training and sports performance, as well as how wearable devices can be used to measure both training and performance. It includes access to some large sport team datasets and uses programming in python to explore concepts related to training, recovery and performance.

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