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STAT 305 Homework # 5 Due Thursday, Oct. 10th Show all

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STAT 305 Homework # 5 Due Thursday, Oct. 10 th in the class Show all of your work on this assignment and answer each question fully in the given context. Please staple your assignment! 1. Chapter 4, Exercise 12, page 208(skip part d) [5 pts each part, 15 pts total] Fall 2019 1
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Page 1: STAT 305 Homework # 5 Due Thursday, Oct. 10th Show all

STAT 305 Homework # 5 Due Thursday, Oct. 10th in the class

Show all of your work on this assignment and answer each question fully in the given context.

Please staple your assignment!

1. Chapter 4, Exercise 12, page 208(skip part d) [5 pts each part, 15 pts total]

Fall 2019 1

Page 2: STAT 305 Homework # 5 Due Thursday, Oct. 10th Show all

STAT 305 Homework # 5 Due Thursday, Oct. 10th in the class

2. Chapter 4, Exercise 16 [a-g][5 pts each part, 35 pts total]

Fall 2019 2

Page 3: STAT 305 Homework # 5 Due Thursday, Oct. 10th Show all

STAT 305 Homework # 5 Due Thursday, Oct. 10th in the class

3. This is the rest of the problem 5 in HW 4.The major cause of axel failure in freight trucks is when shippers exceed the recommendedweight limits that can be handled by the axels. Issues resulting from these failures havebeen becoming more frequent as shippers try to cut corners, leading members of the state’sDepartment of Transportation to ask one of their civil engineers to look into the availabledata and better advise them on the relationship between excessive weight and axel failure.

A company manufacturing axels provides the engineer with data gathered from conductingexperiments loading axels with excessive weight and simulating traveling conditions. Thedata consists of two columns, excessive weight (in tonnes) is the amount of weight overthe limit that was placed on the axel, and distance to failure (in tens of thousands ofmiles) is the simulated distance to the axel’s failure.

Fall 2019 3

Page 4: STAT 305 Homework # 5 Due Thursday, Oct. 10th Show all

STAT 305 Homework # 5 Due Thursday, Oct. 10th in the class

Here are some summaries of the data:

50∑i=1

xi = 64

50∑i=1

x2i = 107

50∑i=1

yi = 2025

50∑i=1

y2i = 95247

50∑i=1

xiyi = 2028

The JMP output below comes from fitting a quadratic model using x and x2.

(a) Write the equation of the fitted quadratic relationship. [5 pts]

y = 16.27602 + 4.6604349x− 10.2775x2

(b) Find and interpret the value of R2 for the fitted quadratic relationship.[5 pts]

R2 = 1 − SSE/SSTO = 1 − (1311.073/14540.720) = 0.909834382341452

In other words, 90.98% of the variability in travel distance to failure can be explainedby the linear relationship with weight exceeding guidelines.

Fall 2019 4

Page 5: STAT 305 Homework # 5 Due Thursday, Oct. 10th Show all

STAT 305 Homework # 5 Due Thursday, Oct. 10th in the class

(c) Using the fitted quadratic relationship, provide a predicted value of travel distance tofailure when the weight exceeding the guidelines is 3.4 tonnes.[5 pts]

y = 16.27602 + 4.6604349(3.4) − 10.2775(3.4)2 = −86.68640134

Total: 65 pts

Fall 2019 5


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