ECON 7300 ASSIGNMENT
Every piece of written work you submit for assessment must have this cover sheet attached.
Please type in your details then copy and paste to the front of your assignment and save the file ready to upload.
COURSE DETAILS
Course Code:
ECON7300
Course Name:
Statistics for Business and Economics
Course Coordinator:
A/Prof John Asafu-Adjaye
Assignment Due Date:
5pm, Friday 23 May 2015
TUTORIAL GROUP NO:
T11
TUTOR’S NAME:
Ms. Ramya Sivaprasad
Please ensure to enter your tutorial group number and your tutor’s name.
STUDENT CONTACT DETAILS
Student No:
43348802
Email Address: jyfwxh@hotmail.com Student Name:
Xiaohui
Surname:
WAN
Student No:
Email Address:
Student Name:
First Name:
Surname:
Work submitted may be subjected to a plagiarism detection process. If this process is used, then copies of this work would be retained and used as a source material for conducting future plagiarism checks.
Date Submitted:
23 MAY 2015
ECON 7300
Statistics for Business and Economics
Statistics Project
Project Dataset 4
Tutorial T11
Friday 8.30-10.00
Name: Xiaohui WAN
Student Number: 43348802
Part A – Simple Linear Regression Analysis
(a) Expectation
Ŷi = β0 + β1xi + βi
Where Ŷ =Amount of money the state spends on aid to local school districts per capita (AIDPC)
Xi= State Income per capita (INCOMEPC)
In general, we expect the increase of state Income per capita make the state spends more money on aid to local school districts per capita. Therefore, we expect β1>0.
(b)Estimate the regression model Coefficients Standard Error t Stat
Intercept
-0.499260665
1.475737675
-0.33831261
INCOMEPC
0.053681383
0.044917266
1.195116879 Chart A.1
As the information demonstrated in Table A.1, we can estimated the regression model as Ŷ = -0.4993+0.0537X.
Where Ŷ =Amount of money the state spends on aid to local school districts per capita (AIDPC) as dependant variable; and Xi= State
Please type in your details then copy and paste to the front of your assignment and save the file ready to upload.
COURSE DETAILS
Course Code:
ECON7300
Course Name:
Statistics for Business and Economics
Course Coordinator:
A/Prof John Asafu-Adjaye
Assignment Due Date:
5pm, Friday 23 May 2015
TUTORIAL GROUP NO:
T11
TUTOR’S NAME:
Ms. Ramya Sivaprasad
Please ensure to enter your tutorial group number and your tutor’s name.
STUDENT CONTACT DETAILS
Student No:
43348802
Email Address: jyfwxh@hotmail.com Student Name:
Xiaohui
Surname:
WAN
Student No:
Email Address:
Student Name:
First Name:
Surname:
Work submitted may be subjected to a plagiarism detection process. If this process is used, then copies of this work would be retained and used as a source material for conducting future plagiarism checks.
Date Submitted:
23 MAY 2015
ECON 7300
Statistics for Business and Economics
Statistics Project
Project Dataset 4
Tutorial T11
Friday 8.30-10.00
Name: Xiaohui WAN
Student Number: 43348802
Part A – Simple Linear Regression Analysis
(a) Expectation
Ŷi = β0 + β1xi + βi
Where Ŷ =Amount of money the state spends on aid to local school districts per capita (AIDPC)
Xi= State Income per capita (INCOMEPC)
In general, we expect the increase of state Income per capita make the state spends more money on aid to local school districts per capita. Therefore, we expect β1>0.
(b)Estimate the regression model Coefficients Standard Error t Stat
Intercept
-0.499260665
1.475737675
-0.33831261
INCOMEPC
0.053681383
0.044917266
1.195116879 Chart A.1
As the information demonstrated in Table A.1, we can estimated the regression model as Ŷ = -0.4993+0.0537X.
Where Ŷ =Amount of money the state spends on aid to local school districts per capita (AIDPC) as dependant variable; and Xi= State