statistics
Week 3 Project – STAT 3001
Student Name: <Type your name here>
Date:<Enter the date on which you began working on this assignment.>
Instructions:To complete this project, you will need the following materials:
- STAT DISK User Manual (found in the classroom in Doc Sharing)
- Access to the Internet to download the STATDISK program.
Part I.Analyze Data
Instructions |
Answers |
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2-5 Analyze the data in this file and complete the following table, indicating for each variable what type of data it represents. |
Variable |
Qualitative/ Quantitative |
Discrete/ Continuous/ Neither |
Level of Measurement |
Size |
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Braking (distance) |
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City (MPG) |
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Car |
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6. Would you consider this data to represent a sample or a population? Why? |
Part II. ScatterPlots
7. Create a scatterplot for the data in the Length (inches) and Braking distance (feet) columns.Paste it here.You may need to resize the plot once it is in this file. |
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8. Explain the visual relationship between Length and Braking distance. |
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9. Create a scatterplot for the data in Displacement (liters) and Highway (MPG) columns. Paste it here. You may need to resize the plot once it is in this file. |
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10. Explain the visual relationship between Displacement and Highway MPG. |
Part III.Correlation
11.Using Stat Disk, calculate the linear correlation between the data in the Length and Braking distance columns. List the steps used for the calculation and give the resulting correlation coefficient. |
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12.Explain the mathematical relationship between Length and Braking distance based on the linear correlation coefficient.Be certain to include comments about the magnitude and the direction of the correlation. |
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13.List the sample size and the degrees of freedom for this computation. |
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14.Using Stat Disk, calculate the linear correlation coefficient between the data in the Displacement and Highway MPG columns. |
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15.Compare and contrast these two relationships: Length and Braking distance Displacement and Highway MPG How are they similar? How are they different?
[Hint: Read Page 290 “Types of Correlation”] |
Part IV.Simple Regression
Let’s say that we wanted to be able to predict the city MPG of a car based on its Weight in pounds. Using this sample data, perform a simple-linear regression to determine the line-of-best fit. Use the Weight as your x (independent) variable and City MPG as your y (response) variable. Use 3 places after the decimal in your answer. Refer to page 13 in the Stat Disk User’s Manual.
16. Paste your results here:
Answer the following questions related to this simple regression
17. What is the equation of the line-of-best fit?Insert the values for bo and b1 from above into y = bo + b1x. |
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18. What is the slope of the line?What does it tell you about the relationship between the Weight and City MPG data? Be sure to specify the proper units. |
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19.What is the y-intercept of the line?What does it tell you about the relationship between Weight and City MPG? |
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20. Using the regression equation, what would you predict for the City MPG of a car weighing 2250 pounds? Show your calculation and round to the nearest tenth. |
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21. Using the regression equation, let’s say you have a car with a City MPG of 29, what would the car weigh? Round to the nearest whole number. |
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22. Find the coefficient of determination (R2 value) for this data.What does this tell you about this relationship? [Hint:see definition on Page 311.] |
Part V.Multiple Regression
Let’s say that we wanted to be able to predict the Highway MPG of a car based on
- Displacement
- Length
- Braking
Using this sample data, perform a multiple-regression using Displacement, Length, Braking distance with Highway MPG as the dependent variable. Refer to page 14 in the Stat Disk User’s Manual.
23. Paste your results here:
24. What is the equation of the line-of-best fit?The form of the equation is Y = bo + b1X1 + b2X2 + b3X3 (fill in values for b0, b1, b2, and b3). [Round coefficients to 2 decimal places.] |
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25. Using the multiple regression equation, what would you predict for the Highway MPG of a car whose
Round to the nearest tenth. |
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26. What is the R2 value for this regression?What does it tell you about the regression? |
Submit your final draft of your Word file by going to Week 3, Project, and follow the directions under Week 3 Assignment 2.Please use the naming convention “WK3Assgn2+first initial+last name” as the Submission Title.