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Analysis of Variance ANOVA Regression and Correlation
Analysis of Variance ANOVA Regression and Correlation
1. Annual bonuses ($1,000) of six randomly selected employees and their years of service were recorded
and listed below.
A. Perform a linear regression analysis to determine the equation, model validity, relation coefficient of
the independent variable, t-value, and p-value of the independent variable and interpret the results.
B. Perform a correlation analysis to determine the correlation coefficient and coefficient of
determination and interpret the results.
Years (x) 1 2 3 4 5 6
Bonuses (y) 6 1 9 5 17 12
2. Life insurance companies are very interested in predicting how long their client will live because their
premiums and profitability depend on this variable. An actuary for an individual insurance company
gathered data from 100 recently deceased male clients. Recorded the age of death of the client, the
3/7/23, 4:33 PM Module 6 Assignment: Analysis of Variance (ANOVA), Regression and Correlation
2/5
– Official Assignment Rubric
ages at the death of his mother and father, the ages at the death of his grandmother and grandfather,
and the smoking or non-smoking habit of the client. (Xr18-10 Module 6
A. Perform a regression analysis of this data.
B. Comment on the validity of the regression model.
C. Determine which independent variables had a linear relationship with customer longevity at 95%
confidence.
D. Interpret each coefficient of the regression.
E. Predict with 95% a level of confidence that the longevity of a man whose parents lived 70 years, his
grandmother lived 80 years, his grandfather lived 75 and is not a smoker.
3. A manufacturer of outdoor copper mailboxes and lamps has received numerous complaints about
premature corrosion. The manufacturer has identified the cause of the problem as the low-quality
varnish used to coat the copper. The manufacturer decides to replace the current varnish supplier with
one of five possible alternatives. To determine which is best, use each of the five varnishes to coat 25
copper mailboxes and place the 125 mailboxes outside. Records, for each, the number of days until
the first sign of corrosion is observed. (Xr15-12 Module 6
A. State the null and alternate hypothesis for this scenario.
B. Is there enough evidence at the significance level of 5% to allow the manufacturer to conclude that
there are differences between the five varnishes?
C. What are the conditions required for the test performed in part b? Explain?
D. Does it appear that the required conditions of the test in part b are met? Explain?
Nursing Ethical Dilemma Case Study
Nursing Ethical Dilemma Case Study
Executive Summary: Ethical Dilemma
As an application exercise, identify a specific ethical dilemma related to the healthcare needs of patients or populations in the community. This application exercise is a case study of a situation of which you are professionally involved or one in which you are an observer currently occurring. Assess, apply ethical analysis and clinical reasoning. Discuss interventions. If the issue has been resolved, discuss your thoughts regarding the outcome. If the issue is yet to be resolved discuss possible outcomes and your thoughts. Include the use of supportive technologies used to assess, intervene and evaluate (HIT, monitoring devices, etc).
Points = 100
Description of the Case and the Ethical Dilemma – 20 Points.
Ethical analysis – 20 Points
Supportive technologies – 10 Points
Interventions – 20 Points
Evaluation – 20 Points
APA Format and Organization, include Title Page and References (minimum – 4) – 10 Points
Content: Title Page, Reference List, Content – excluding Title Page and Reference List 500 – 1000 Words.
Data Analyse Presentation
Data Analyse of a Gymnast (send the test data over)
Presentation- 600-word script for a 5 min presentation of the data
PowerPoint Slides – Provide a simple, visually appealing presentation of the results
Slide 1 Data Analyse Presentation
Slide 2 Performance Requirements – information on Metabolic Demands, Biomechanical Demands
Slide 3 Test Selection – information on Validity and Reliability
Slide 4 Athlete Status- information on Non-modifiable and Modifiable
Slide 5 Presentation of results – information on Feedback
Slide 6 Programme Design- information on Aims and objectives, Frequency (session per week), Loading Strategy (intensity of exercise), Exercise Selection (Isolated vs Compound), Monitoring tools (e.g., RPE, HR, Wellness), Individual or group based, Athlete competency, Phase of season/ competitive season (e.g. in or out of season), Equipment available (Home or gym based)
Slide 7 References – Books and Journal articles used to find information
information required
- Need Analysis- Strength, Power, Speed, Agility/Cod, Aerobic Conditioning
- Should profile- Anthropometrics- Height, Weight, Maturity Status, Body Composition. Strength – 1RM/ 3RM/ 5RM, Isometric Test, Isokinetic Dynamometer, specific strength test. Power- Jump Assessment, Reactive Jump Assessment, 6s Peak Power Test (Wattbike), Force- Velocity Profiling. Speed- Acceleration (0-20m), Maximal Speed (20-60m), Sprint Speed, Sport-specific movement profile. Agility/COD- 5-0-5, Illinois Agility, Reactive Agility, Sport-specific movement profile. Aerobic conditioning- 30-15 IFT/ Branco, Time trail (1500m), VO2max/RAMP test, Repeated Sprint Tests
- Most test will use different scales and units of measurement, which make it really hard to present on 1 grape alone
- Group tests together
- Convert Results into a Z-score based on group or published means to illustrate them on a single graph or image
- Utilise additional software
