Online Quiz 4 Regression Financial Statistics PDF

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After you have read this information, head over to the Assignment 1 Q&A discussion board to ask any questions and see what your peers are saying about this assignment. Weighting: 5% Opens: 9am AEST Monday 16 September 2019 (Week 10) Due: 11:59pm AEST Sunday 22 September 2019 (Week 10) ULOs: This assignment supports unit learning outcomes 1, 2, 3 and 4. Attempts: You can attempt the test twice, up until the due date. Your mark for this assignment will be your highest test score recorded. Questions: There are 15 questions in the quiz. Duration: This test is timed. You have 60 minutes to complete the tests. You will be notified when time expires, and you may continue or submit. After you submit, you will see the results only (not the correct answers) of your test and have the opportunity to sit the test again. Please be aware that the tests may come from a pool of questions so you may not get the same questions again. If you choose to sit the test again, your highest grade from the two tests is the one that will be submitted on your behalf. Test results released: Your marks on this test will be made available two weeks after the due date. Before you start - get your technology ready: Make sure you are using a notebook or a PC. Smartphones, iPads, tablets and other devices do not provide a stable platform for the completion of quizzes. Check your browser. Mozilla Firefox or Google Chrome is recommended. Check your internet access. You will need broadband internet connection (preferably not a mobile dongle). For Mozilla Firefox. (https://www.mozilla.org/en-US/) For Google Chrome. (https://www.google.com/chrome/browser/desktop/index.html) Check your operating system. Make sure you can access the Student Portal. (https://portal.swinburneonline.edu.au/) (Note: the password you use for the Student Portal will be unique to the Student Portal). Please contact the Student Advisors on 1300 937 765 if you are having trouble logging into the Student Portal. For Mac users, you will need OSX Version 10.7 or higher. For PC users, you will need Windows Vista or newer. Make sure you have two windows open (Canvas and Student Portal) so that you can refer to the Portal while completing this quiz.

The degrees of freedom for the chi-square goodness-of-fit test are equal to ________, where k is the number of categories.

A walk-in medical clinic believes that arrivals are uniformly distributed over weekdays (Monday through Friday). It has collected the following data based on a random sample of 100 days. Data Frequency Mon

25

Tue

22

Wed

19

Thu

18

Fri

16

Total

100

Data (n.d.) created by Swinburne Online

To conduct a goodness-of-fit test, what is the expected value for Friday?

To use contingency analysis for numerical data, which of the following is true?

Which of the following statements is correct?

If a pair of variables have a strong curvilinear relationship, which of the following is true?

Recently, an automobile insurance company performed a study of a random sample of 15 of its customers to determine if there is a positive relationship between the number of miles driven and the age of the driver. The sample correlation coefficient is r = .38. Given this information, which of the following is appropriate critical value for testing the null hypothesis at an alpha = .05 level?

A study was done in which the high daily temperature and the number of traffic accidents within the city were recorded. These sample data are shown as follows: Recordings within city High temperature

Traffic accidents

91

7

56

4

75

9

68

11

50

3

39

5

98

8

Recordings within city (n.d.) created by Swinburne Online

Given this data the sample correlation is:

Which of the following is NOT an assumption for the simple linear regression model?

Use the following regression results to answer the question below:

How many observations were involved in this regression?

The following regression output is available. Notice that some of the values are missing.

Given this information, what was the sample size used in the study?

The following regression output is available. Notice that some of the values are missing.

Given this information, what is the standard error of the estimate for the regression model?

A recent study by a major financial investment company was interested in determining whether the annual percentage change in stock price for companies is linearly related to the annual percentage change in profits for the company. The following data was determined for seven randomly selected companies: Data % Change in stock price

% Change in profit

8.4

4.2

9.5

5.6

13.6

11.2

-3.2

4.5

7

12.2

18.4

12

-2.1

-13.4

Data (n.d.) created by Swinburne Online

Based upon this sample information, what portion of variation in stock price percentage change is explained by the percentage change in yearly profit?

The following regression output was generated based on a sample of utility customers. The dependent variable was the dollar amount of the monthly bill and the independent variable was the size of the house in square feet....