123.Consider the following partial computer output from a simple linear regression analysis.
Write the equation of the least squares line.
124.Consider the following partial computer output from a simple linear regression analysis.
Test H0:1 0 vs. Ha: 1>

Topic 2 Tutorial Solutions
PREPARE BEFORE CLASS
1. Ch 19, page 856, Exercise 19.2.
The asset section of the statement of financial position and notes thereto of Megabus
Ltd is shown below:
Cash assets
Receivables
Inventories
Prepaid insurance
Furniture an

Topic: One-way ANOVA
106.
Suppose you are a researcher investigating the annual sales differences among five categories
of businesses. Looking at a total of 55 companies equally divided among categories groups A,
B, C, D, and E.
Is there a significant dif

Learning Objective: 11-02 Compare several different population means by using a one-way analysis of variance.
Topic: One-way ANOVA
73.
Consider the randomized block design with 4 blocks and 3 treatments given above.
What are the degrees of freedom for tre

73.
Regression Analysis
The local grocery store wants to predict the daily sales in dollars. The manager believes that
the amount of newspaper advertising significantly affects the store sales. He randomly selects
7 days of data consisting of daily grocer

100.
A local tire dealer wants to predict the number of tires sold each month. He believes that the
number of tires sold is a linear function of the amount of money invested in advertising. He
randomly selects 6 months of data consisting of tire sales (in

81.
An experiment was performed on a certain metal to determine if the strength is a function of
heating time. Results based on 10 metal sheets are given below. Use the simple linear
regression model.
= 30
= 104
= 40
= 178
= 134
Find the t statistic and t

85.
An experiment was performed on a certain metal to determine if the strength is a function of
heating time. The simple linear regression equation is
= 1 + 1X. The time is in minutes and
the strength is measured in pounds per square inch.
The 95% confid

63.
The _ is the proportion of the total variation in the dependent variable
explained by the regression model.
A. Coefficient of determination
B. Correlation coefficient
C. Slope
D. Standard error
AACSB: Reflective Thinking
Blooms: Knowledge
Bowerman - C

65. The following results were obtained from a simple regression analysis:
= 37.2895 - (1.2024)X
r2= .6744 sb= .2934
For each unit change in X (independent variable), the estimated change in Y (dependent variable)
is equal to:
66. The following results we

140.
Consider the following partial computer output from a simple linear regression analysis.
S = 0.4862 R-Sq = 0.7286
Analysis of Variance
What is the correlation coefficient?
-0.8536
Feedback: r2 = Explained variance/Total variance = 8.251/11.324 = .728

116.
A data set with 7 observations yielded the following. Use the simple linear regression model.
= 21.57
= 68.31
= 188.9
= 5,140.23
= 590.83
SSE = 1.06
Find the rejection point for the t statistic (
= .05). Test H0: 1 0 vs. Ha: 1 > 0.
13.993, reject nul

Learning Objective: 13-01 Explain the simple linear regression model.
Topic: Simple Linear Regression
121.
Consider the following partial computer output from a simple linear regression analysis.
What is the estimated y-intercept?
-28.13
AACSB: Analytic
B

60.
The degrees of freedom error (within group variation) of a completely randomized design
(one-way) ANOVA test with 4 groups and 15 observations per each group is:
56
Feedback: Error df = n - treatment levels = 60 - 4 = 56
AACSB: Analytic
Blooms: Applic

FINM7006 Applied Foundations of Finance
MID-SEMESTER EXAM
1. The exam has 15 minutes reading time and 90 minutes writing time.
2. The exam is closed book, no formula sheet is provided or allowed.
3. You may only use a non-programmable calculator. Graphics

(a)
The firm should produce approximately 160 widgets and the firm will have maximum profit.
It is a perfectly competitive firm, so price=MR.
When MR=MC (Q=160), the firm can earn maximum profit
(b)
The firm will make positive profit at the price of $6/wi

Accounting Concepts and Methods
Measurement of profit; Income statement;
Statement of Cash Flows; and
Analysis and interpretation of the statements
Assessments updates
Research assignment:
Week 3: Groups are finalised in tutorial classes this week;
Wee

Accounting Concepts and Methods (M)
Overview
THE UNIVERSITY OF ADELAIDE
Page 1 of 8
BUSINESS SCHOOL
MASTERS PROGRAMS
ACCTING 7019 ACCOUNTING CONCEPTS AND METHODS (M)
Topic 1:
Overview of Accounting:
Accounting process, decision making process, regulatory

Accounting Concepts and Methods (M)
Statement of financial position
THE UNIVERSITY OF ADELAIDE
Page 1 of 11
BUSINESS SCHOOL
MASTERS PROGRAMS
ACCTING 7019 ACCOUNTING CONCEPTS AND METHODS (M)
Topic 2:
Balance sheet (Statement of financial position);
Introdu

BUSN 7008
Homework Exercises & tutorial questions
For Discussion Week 13
Solutions
E13-6
Req. 1
a.
Holliss balance
$ 85 000
Roses balance
170 000
Novaks balance
Total new partnership equity for Plan a
b.
-0$255 000
Partnership capital before Hollis is adm

BUSN7008 Financial Statements & Reporting
Tutorial quiz 7A (10 minutes)
Closed book
Student ID: .
Student Name: .
Identify the best response to each of the questions below and indicate the corresponding letter
on the paper. Students talking or looking at

BUSN7008 Financial Statements & Reporting
Tutorial quiz 8A (10 minutes)
Closed book
Student ID: .
Student Name: .
Identify the best response to each of the questions below and indicate the corresponding letter
on the paper. Students talking or looking at

BUSN 7008
Homework Exercises & tutorial questions
( For discussion week seven)
(1520 min.) E6-1
Req. 1
1.
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3.
2.
D
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4.
A
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BUSN 7008
Homework Exercises & tutorial questions
For Discussion Week 12
Solutions
(1015 min.) E16-2
Req. 1
O+
a. Collection of accounts
F
i.
Payment of long-term debt
F+
j.
Issue of ordinary shares
receivable
F+
b. Issue of bill payable
to borrow cash
N

Blooms: Application
Bowerman - Chapter 13 #134
Difficulty: Easy
Learning Objective: 13-01 Explain the simple linear regression model.
Topic: Simple Linear Regression
135.
Consider the following partial computer output from a simple linear regression analy

74. Regression Analysis
The local grocery store wants to predict the daily sales in dollars. The manager believes that the
amount of newspaper advertising significantly affects the store sales. He randomly selects 7 days
of data consisting of daily grocer

115.A data set with 7 observations yielded the following. Use the simple linear regression model.
= 21.57
= 68.31
= 188.9
= 5,140.23
= 590.83
SSE = 1.06
Calculate the standard error.
116.A data set with 7 observations yielded the following. Use the simple