Description
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:
 STATDISK User Manual (found in the classroom in DocSharing)
 Access to the Internet to download the STATDISK program.
Part I. Analyze Data
Instructions  Answers  
1. Open the file MOVIES using menu option Datasets and then Elementary Stats, 9^{th} Edition. This file contains some information about a collection of movies. How many observations are there in this file?


27 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 
Rating  
Budget  
Gross  
Length  
Viewer  
8. Would you consider this data to represent a sample or a population? 
Part II. ScatterPlots
9. Create a scatterplot for the data in the Budget and Gross columns. Paste it here.  
10. Explain the visual relationship between Budget costs and Gross Earnings of the movies.  
11. Create a scatterplot for the data in the Budget and the Viewer Rating columns. Paste it here.  
12. Explain the visual relationship between Budget costs and Viewer Rating. 
Part III. Correlation
13. Using Stat Disk, calculate the linear correlation between the data in the Budget and Gross columns. List the steps used for the calculation and give the resulting correlation coefficient.  
14. Explain the mathematical relationship between Budget costs and Gross Earnings of the movies based on the linear correlation coefficient. Be certain to include comments about the magnitude and the direction of the correlation


15. List the sample size and the degrees of freedom for this computation.  
16. Using Stat Disk, calculate the linear correlation between the data in the Budget and Viewer Rating columns.  
17. Compare and contrast these two relationships:
BUDGET and GROSS
BUDGET and RATING
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 GROSS earnings (in millions of dollars) for an upcoming movie based on the BUDGET (in millions of dollars) spent on the movie. Using this sample data, perform a simpleregression to determine the lineofbest fit. Use the BUDGET as your x (independent) variable and GROSS as your y (response) variable.
 Paste your results here:
Answer the following questions related to this simple regression
19. What is the equation of the lineofbest fit? Insert the values for b_{o} and b_{1 }from above.  
20. What is the slope of the line? What does it tell you about the relationship between the BUDGET and GROSS data? Be sure to specify the proper units.
[Hint: remember that both variables are measured in millions of dollars.] 

21. What is the yintercept of the line? What does it tell you about the relationship between the BUDGET and GROSS data?


22. What would you predict for the GROSS earnings of a movie for which the BUDGET is 35?  
23. Let’s say you run out of money making the movie and you have to reduce your BUDGET by 5. What effect would you predict this would have on the GROSS earnings of the movie?  
24. Find the coefficient of determination (R^{2} 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 GROSS earnings (in millions of dollars) for an upcoming movie based on three variables:
 BUDGET (in millions of dollars) spent on the movie
 LENGTH (in minutes) of the movie
 VIEWER RATING
Using this sample data, perform a multipleregression using BUDGET, GROSS, LENGTH, and VIEWER RATING. Select GROSS (Column 5) as your Dependent variable.
 Paste your results here:
26. What is the equation of the lineofbest fit? The form of the equation is Y = b_{o }+ b_{1}X_{1} + b_{3}X_{3 }+ b_{4}X_{4} (fill in values for b_{o}, b_{1}, b_{3}, and b_{4}).
[Round coefficients to 2 decimal places.] 

27. What would you predict for the GROSS earnings of a movie for which
· BUDGET is 35 · LENGTH is 130 · VIEWER RATING is 7.5


28. What is the R^{2} 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.