1 silver’s gym: student coaching slides. 2 question 1: regression analysis y = a + bx, x is given,...

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1 Silver’s Gym: Student Coaching Slides

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Page 1: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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Silver’s Gym:

Student Coaching Slides

Silver’s Gym:

Student Coaching Slides

Page 2: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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Question 1:Regression AnalysisQuestion 1:Regression Analysis

Y = a + bX,X is given,

Y is predicted

Y = a + bX,X is given,

Y is predicted

Page 3: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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Question 1:Excel StepsQuestion 1:Excel Steps

• Web Site to get data• Tools, Data Analysis (If not in menu, click Add-

ins, Analysis Tool Pak)• Regression, OK• Click labels• Enter two columns of numbers• Note: dialog box has Y before X

• Web Site to get data• Tools, Data Analysis (If not in menu, click Add-

ins, Analysis Tool Pak)• Regression, OK• Click labels• Enter two columns of numbers• Note: dialog box has Y before X

Page 4: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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Question 1:Regression EquationQuestion 1:Regression Equation

• Bottom table, Column = Coefficients• Row = intercept =a• Row = cholesterol = b = slope• Interpret slope: If X increases by 1 unit, Y

changes (increase? decrease?) by b units

• Bottom table, Column = Coefficients• Row = intercept =a• Row = cholesterol = b = slope• Interpret slope: If X increases by 1 unit, Y

changes (increase? decrease?) by b units

Page 5: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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Question 1: Coefficient of DeterminationQuestion 1: Coefficient of Determination

• Top table• Row = R square• Interpret: R-square per cent of

total variation in Y is explained by variation in X

• Top table• Row = R square• Interpret: R-square per cent of

total variation in Y is explained by variation in X

Page 6: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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Questions 2:Expected ValueQuestions 2:Expected Value

• E(X) =ΣxP(x)• Hint: Add constant value to E(x) to

get total cost

• E(X) =ΣxP(x)• Hint: Add constant value to E(x) to

get total cost

Page 7: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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Question 3:Find MeanQuestion 3:Find Mean

• Mean = age at which average person experiences incident = µ

• Normal: Z = (x-µ)/σ• Value of Z from normal table in

statistics book• Use algebra to solve for µ

• Mean = age at which average person experiences incident = µ

• Normal: Z = (x-µ)/σ• Value of Z from normal table in

statistics book• Use algebra to solve for µ

Page 8: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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Question 4: Expectednumber of lives saved Question 4: Expectednumber of lives saved

= Expected number still alive due to defibrillator

minus expected number who died due to improper use

• Hint: Use reasoning, not algebraic formula

= Expected number still alive due to defibrillator

minus expected number who died due to improper use

• Hint: Use reasoning, not algebraic formula

Page 9: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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Question 5:NegligenceQuestion 5:Negligence

•Define

•Prima Facie Case – Plaintiff’s Burden

•Defenses – Defendant’s Burden

•Define

•Prima Facie Case – Plaintiff’s Burden

•Defenses – Defendant’s Burden

Page 10: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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Prima Facie CasePrima Facie Case

• Conduct

• Duty

• Breach of Duty

• Actual (direct) Cause

• Proximate (legal) Cause

• Damage

• Conduct

• Duty

• Breach of Duty

• Actual (direct) Cause

• Proximate (legal) Cause

• Damage

Page 11: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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ConductConduct

• What Did Silver’s Do or Fail to Do?

• Affirmative Action

• Omission – Failure to Act

• What Did Silver’s Do or Fail to Do?

• Affirmative Action

• Omission – Failure to Act

Page 12: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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DutyDuty

• The Concept of Duty Has Two Parts:

– What is the Duty?

– To Whom is the Duty Owed?

• The Concept of Duty Has Two Parts:

– What is the Duty?

– To Whom is the Duty Owed?

Page 13: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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DutyDuty

• What is the Duty?

–Standard of Care

• To Act as a Reasonable Person

• Custom or Statute

• What is the Duty?

–Standard of Care

• To Act as a Reasonable Person

• Custom or Statute

Page 14: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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DutyDuty

• To Whom is the Duty Owed?(See: Get n’ Go Library Case)

– Relationship

– Foreseeable Plaintiff

– Public Policy

• To Whom is the Duty Owed?(See: Get n’ Go Library Case)

– Relationship

– Foreseeable Plaintiff

– Public Policy

Page 15: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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Breach of DutyBreach of Duty

• Calculus of the Risk(See: Get n’ Go Library Case)

1) Likelihood of Harm 2) Seriousness of Harm

vs.3) Cost of Prevention

and/or4) Utility of the Activity

• Calculus of the Risk(See: Get n’ Go Library Case)

1) Likelihood of Harm 2) Seriousness of Harm

vs.3) Cost of Prevention

and/or4) Utility of the Activity

Page 16: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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Actual CausationActual Causation

• Plaintiff Must Connect Conduct to the Loss

– “But for” Defendant’s Conduct Plaintiff Would not Have Suffered the Loss

• Easy, Difficult, or Impossible Burden in this Case?

• Plaintiff Must Connect Conduct to the Loss

– “But for” Defendant’s Conduct Plaintiff Would not Have Suffered the Loss

• Easy, Difficult, or Impossible Burden in this Case?

Page 17: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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Proximate(Legal) CauseProximate(Legal) Cause

• Policy Determination

– Should Defendant Really be Responsible for Damages Actually Caused?

– Natural and Probable Consequences

– Did Plaintiff’s Loss Come About as a Result of a String of Weird Unforeseeable Events?

• Policy Determination

– Should Defendant Really be Responsible for Damages Actually Caused?

– Natural and Probable Consequences

– Did Plaintiff’s Loss Come About as a Result of a String of Weird Unforeseeable Events?

Page 18: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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DamagesDamages

• Damages Suffered in this Case

– Compensatory?• Define/Purpose

– Punitive Damages?• Define/Purpose

• Damages Suffered in this Case

– Compensatory?• Define/Purpose

– Punitive Damages?• Define/Purpose

Page 19: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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Defenses (Applicable?)Defenses (Applicable?)

• Contributory Negligence– Complete Bar to Recovery

• Comparative Negligence

• Contributory Negligence– Complete Bar to Recovery

• Comparative Negligence

Page 20: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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Question 6:Negligence Per SeQuestion 6:Negligence Per Se

• Define

• Relation to the Prima Facie Case of Negligence

– Any Light Shed on This by Statutes in the Library?

• Define

• Relation to the Prima Facie Case of Negligence

– Any Light Shed on This by Statutes in the Library?

Page 21: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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Question 6:ConclusionQuestion 6:Conclusion

• Conclusion Different From Question 5

»YES»NO»MAYBE»NO IDEA»GIVE UP

• Conclusion Different From Question 5

»YES»NO»MAYBE»NO IDEA»GIVE UP

Page 22: 1 Silver’s Gym: Student Coaching Slides. 2 Question 1: Regression Analysis Y = a + bX, X is given, Y is predicted Y = a + bX, X is given, Y is predicted

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Question 7: EthicsQuestion 7: Ethics

• Approaches

• Mission - Vision - Core Values

• Approaches

• Mission - Vision - Core Values