Observational data on O-rings from 23 shuttle missions showing the number of damaged and undamaged O-rings for each space mission is provided here: shuttlemission.csv For this task, we are interested in modelling the probability of damage to O-ring due to the temperature. Dependent Variable Damaged (this variable captures the damage to the O-ring: 1 is coded for damaged and 0 is coded for undamaged) a. Import the data in JASP and run the logistic regression model on interest (provide a full capture of the output). b. Write the equation for the logistic regression based on the JASP output. c. Is the B estimate associated with Temperature statistically significant with a 5% significance level? Interpret. d. Based on the output of the logistic model, is it justified that a part of the O-rings was damaged because of temperature (Yes/No)? Interpret. e. Find the model-estimated probability an O-ring being damaged for the following ambient temperatures: Temperature (degree Fahrenheit) 51 53 55 57 Explanatory Variable Temperature (ambient temperature in degree Fahrenheit) p

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question

I have attached the screenshot of the question and the screenshot of the data that is in shuttlemission file. Please answer the questions and provide the screenshots of the outputs as well. Thanks

**Observational Data on O-rings from Shuttle Missions**

This exercise involves analyzing data from 23 shuttle missions to study the probability of O-ring damage based on temperature. The dataset can be accessed from: *shuttlemission.csv*.

**Objective:**

Model the probability of O-ring damage as a function of ambient temperature.

**Variables:**

- **Dependent Variable:**
  - **Damaged**: Coded as 1 if the O-ring is damaged, 0 if undamaged.
  
- **Explanatory Variable:**
  - **Temperature**: Measured in degrees Fahrenheit.

**Tasks:**

a. Import the data in JASP and execute a logistic regression analysis. Ensure you provide a full capture of the output.

b. Formulate the logistic regression equation from the JASP output.

c. Determine if the beta (β) estimate for Temperature is statistically significant at a 5% significance level. Interpret the findings.

d. Evaluate if the logistic model’s output justifies that temperature contributes to O-ring damage. Provide a Yes/No answer and interpret.

e. Calculate the predicted probability (\(\hat{p}\)) of O-ring damage for these temperatures:

   - **51°F**
   - **53°F**
   - **55°F**
   - **57°F**

**Submission:**

Prepare your Learning Journal assignment in Word, Spreadsheet, or PDF format.

*Note*: Remember that statistical significance and model interpretation are crucial parts of this analysis, aiding in understanding the impact of temperature on O-ring integrity.
Transcribed Image Text:**Observational Data on O-rings from Shuttle Missions** This exercise involves analyzing data from 23 shuttle missions to study the probability of O-ring damage based on temperature. The dataset can be accessed from: *shuttlemission.csv*. **Objective:** Model the probability of O-ring damage as a function of ambient temperature. **Variables:** - **Dependent Variable:** - **Damaged**: Coded as 1 if the O-ring is damaged, 0 if undamaged. - **Explanatory Variable:** - **Temperature**: Measured in degrees Fahrenheit. **Tasks:** a. Import the data in JASP and execute a logistic regression analysis. Ensure you provide a full capture of the output. b. Formulate the logistic regression equation from the JASP output. c. Determine if the beta (β) estimate for Temperature is statistically significant at a 5% significance level. Interpret the findings. d. Evaluate if the logistic model’s output justifies that temperature contributes to O-ring damage. Provide a Yes/No answer and interpret. e. Calculate the predicted probability (\(\hat{p}\)) of O-ring damage for these temperatures: - **51°F** - **53°F** - **55°F** - **57°F** **Submission:** Prepare your Learning Journal assignment in Word, Spreadsheet, or PDF format. *Note*: Remember that statistical significance and model interpretation are crucial parts of this analysis, aiding in understanding the impact of temperature on O-ring integrity.
### Shuttle Mission Temperature and Damage Data

This table presents data from a series of shuttle missions, focusing on the temperature conditions and the resulting state of the shuttle components, specifically categorized into "Damaged" and "Undamaged". The details are as follows:

- **Shuttle Mission:** Sequentially numbered from 1 to 23.
- **Temperature (°F):** The temperature at which each shuttle mission was conducted, ranging from 53°F to 81°F.
- **Damaged:** Number of components reported as damaged during or after the mission.
- **Undamaged:** Number of components that remained intact and undamaged.

#### Data Breakdown:

1. **Missions 1 to 4:**
   - Temperatures range from 53°F to 63°F.
   - Each of these missions noted 1 damaged component.

2. **Missions 5 to 13:**
   - Temperatures range from 66°F to 70°F.
   - Most missions in this range reported no damage except missions 11 and 13, which both had 1 damaged component.

3. **Missions 14 to 23:**
   - Temperatures range from 70°F to 81°F.
   - All these missions showed no damage.

#### Observations:

- Lower temperatures, particularly between 53°F and 58°F, coincide with a higher instance of damage.
- As temperatures increase (from 66°F and above), the likelihood of damage appears to decrease, with few exceptions.
- The data suggests a potential correlation between higher temperatures and reduced damage occurrence.

This data can be used to assess the impact of launch temperatures on shuttle component integrity, highlighting an important factor in shuttle safety and performance evaluation.
Transcribed Image Text:### Shuttle Mission Temperature and Damage Data This table presents data from a series of shuttle missions, focusing on the temperature conditions and the resulting state of the shuttle components, specifically categorized into "Damaged" and "Undamaged". The details are as follows: - **Shuttle Mission:** Sequentially numbered from 1 to 23. - **Temperature (°F):** The temperature at which each shuttle mission was conducted, ranging from 53°F to 81°F. - **Damaged:** Number of components reported as damaged during or after the mission. - **Undamaged:** Number of components that remained intact and undamaged. #### Data Breakdown: 1. **Missions 1 to 4:** - Temperatures range from 53°F to 63°F. - Each of these missions noted 1 damaged component. 2. **Missions 5 to 13:** - Temperatures range from 66°F to 70°F. - Most missions in this range reported no damage except missions 11 and 13, which both had 1 damaged component. 3. **Missions 14 to 23:** - Temperatures range from 70°F to 81°F. - All these missions showed no damage. #### Observations: - Lower temperatures, particularly between 53°F and 58°F, coincide with a higher instance of damage. - As temperatures increase (from 66°F and above), the likelihood of damage appears to decrease, with few exceptions. - The data suggests a potential correlation between higher temperatures and reduced damage occurrence. This data can be used to assess the impact of launch temperatures on shuttle component integrity, highlighting an important factor in shuttle safety and performance evaluation.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps with 9 images

Blurred answer
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman