Based on the EViews result in Table 1, answer the following questions.
Table 1: Estimated Regression Result
Dependent Variable: LGDP
Method: Least Squares
Sample: 2000Q1 2012Q4
Included observations: 52
Variable Coefficient Std. Error t-Statistic Prob.
LM2 0.796910 0.032383 24.60868 0.0000
LREER -0.060125 0.065220 -0.921892 0.3613
LSDR 0.051745 0.074618 0.693465 0.4914
LTBR 0.029174 0.007715 3.781436 0.0004
C 2.795406 0.427355 6.541183 0.0000
R-squared 0.986591 Mean dependent var 13.28409
Adjusted R-squared 0.985450 S.D. dependent var 0.429315
S.E. of regression 0.051786 Akaike info criterion -2.992187
Sum squared resid 0.126044 Schwarz criterion -2.804568
Log likelihood 82.79686 Hannan-Quinn criter. -2.920258
F-statistic 864.5234 Durbin-Watson stat 0.777639
Prob(F-statistic) 0.000000
a. Write down the estimated result. [5 marks]
b. Examine the parameters of interest from the perspective of: (hint: used p-value)
[25 marks]
c. What is your conclusion about the relationship between parameter of interests
based on the empirical results? [4 marks]
d. Based on the empirical results in Table 1, what are the possible diagnostic
problems that you observe?
In: Economics
Consider the following table of data that was generated from randomly surveying 100 people and recording how much change (from coins) was in their pockets:
|
0.33 |
0.01 |
0.69 |
0.04 |
0.46 |
|
0.16 |
1.67 |
0.12 |
0.03 |
0.17 |
|
0.09 |
0.17 |
0.57 |
0.04 |
0.29 |
|
0.85 |
0.46 |
1.17 |
0.02 |
0.12 |
|
0.74 |
1.72 |
0.28 |
0.12 |
1.37 |
|
0.61 |
0.06 |
1.46 |
0.42 |
0.03 |
|
0.39 |
0.10 |
0.02 |
0.20 |
1.08 |
|
1.27 |
0.30 |
1.13 |
0.06 |
0.27 |
|
3.76 |
0.43 |
0.04 |
0.37 |
0.09 |
|
0.09 |
0.22 |
1.06 |
0.09 |
0.01 |
|
0.17 |
1.23 |
0.12 |
1.51 |
0.13 |
|
0.18 |
0.50 |
0.73 |
0.03 |
0.63 |
|
0.05 |
0.36 |
0.11 |
0.74 |
0.12 |
|
0.90 |
0.91 |
0.12 |
0.38 |
0.02 |
|
0.17 |
0.20 |
0.40 |
0.47 |
0.36 |
|
0.99 |
0.35 |
1.27 |
1.64 |
1.67 |
|
0.74 |
0.04 |
0.62 |
0.08 |
0.09 |
|
0.15 |
0.01 |
0.05 |
1.03 |
0.15 |
|
0.09 |
0.49 |
0.89 |
0.18 |
0.10 |
|
0.15 |
1.27 |
1.23 |
0.34 |
0.42 |
1. Construct a histogram of the empirical data. Use ten "bins".Hint: It may be helpful to construct ten "bins" over the interval [0,4]
2. Construct a histogram of the empirical data. Use 20 bins.
3. Describe the shape of each graph.
In: Math
Marko Inc. provides the following information related to its post-retirement health care benefits for the year 2018 (amounts in thousands of Canadian dollars): Defined post-retirement benefit obligation at January 1, 2018 - $100,000 Plan assets, January 1, 2018 - 40,000 Actual return on plan assets, 2018 - 3,000 Discount rate- 10% Service cost,2018 - 57,000
Plan funding during 2018 - 22,000
Payments from plan to retirees during 2018 - 6,000 Actuarial loss on defined post-retirement benefit obligation, 2018 (end of year)- 31,000
Marko Inc. follows IFRS.
REQUIRED:
(a) Calculate the post-retirement benefit expense for 2018. (b) Calculate the post-retirement benefit remeasurement gain
or loss- other comprehensive income (OCI) for 2018. (c)
Determine the December 31, 2018 balance of the plan assets, the
defined post-retirement benefit obligation, and the plan surplus or
deficit. (d) Determine the balance of the net
post-retirement benefit liability/asset account on the December 31,
2018 statement of financial position. (e) Reconcile the
plan surplus or deficit with the amount reported on the statement
of financial position at December 31, 2018.
In: Accounting
On January 1, 2018, Star Inc. began construction of a new warehouse for its own use. The warehouse was completed in 2019. Expenditures on the project in 2018 were as follows:
January 1, 2018 $310,000
March 31, 2018 $600,000
September 1, 2018 $720,000
Star borrowed $600,000 on a construction loan at 6% interest rate on January 1, 2018. The loan was outstanding throughout the construction period. During 2018, the company had $300,000 in 4% bonds and $700,000 in 8% notes outstanding. Star’s capitalized interest in 2018 using the specific interest method was:
A. $60,000.
B. $63,200.
C. $68,000.
D. $104,000.
In: Accounting
(2) Companies like Symantec, McAffee, Trend Micro, Kaspersky, etc. provide enterprise-level malware protection. Choose a major anti-virus company and familiarize yourself with their product line. Using what you learned from your research create an executive presentation of 8-12 PowerPoint slides on the product and on how you would install an enterprise malware solution on a hypothetical network with 50 Windows servers and 2000 Windows 7 computers. Provide sufficient detail about hardware devices and software and where they would be installed. Create a high-level diagram to accompany your proposal that shows the layout of your software. It is not necessary to diagram your complete network, just a high level representation of it. For example, you could represent the 2000 Windows 7 computers with one Icon labeled Windows 7 Workstations (2000). However, if you include a security appliance that provides malware protection, it should be included as a separate icon. Also, indicate location of software components (clients, servers, databases, management tools, etc) on your diagram, as well.
In: Computer Science
In: Biology
Summarize the main findings by the authors of your systematic review including the strength of evidence for each main outcome as it relates to the article. Tanner, J., Dumville, J. C., Norman, G., & Fortnam, M. (2016). Surgical hand antisepsis to reduce surgical site infection. Cochrane Database of Systematic Reviews, Issue 1. Art. No.: CD004288. DOI: 10.1002/14651858.CD004288.pub3.
In: Nursing
List customer id, customer full name (Last name, full name, state) for those customers that have ordered more than once.
List customers (order id, customer id, and customer last name)
that had more than 2
-- products in their order. Order your result based on customer id
followed by order id
SQL SERVER DATABASE
In: Computer Science
• Using the Internet or Strayer online database, research at least three (3) recent examples, within the past five (5) years, of data breaches in which hackers stole customer data of companies that conduct business online. Next, recommend one (1) strategy that you believe would mitigate or eliminate the theft of customer data. Provide a rationale for your recommendation.
In: Economics
QUESTION 71
For first name column in our subsidiary’s database in Japan, we should use _____
A.
nchar(30)
B.
char(30)
C.
varchar(30)
D.
nvarchar(30)
QUESTION 72
for column definition of middle name in US., we should use _____
A.
nchar(20)
B.
char(20)
C.
varchar(20)
D.
varchar2(20)
In: Computer Science