Data on all residential homes sales in Ames Iowa between 2006 and 2010. The data set contains many explanatory variables on the quantity of physical attributes of residential homes in Iowa sold between 2006 and 2010. Most of the variables describe information a typical home buyer would like to know about a property (square footage, number of bedrooms, size of a lot, etc.)

Now use the Lot.Area

a. Use summary command to see descriptive statistics of Lot.Area

b. what is the mean and median of Lot.Area. Explain Comment on it.

c. Get the histogram of Lot.Area What do you observe?

d. Create new data set for Lot.Area where Lot.Area is than 20000.

e. Get the histogram of the new data for Lot.Area. What do you see? How is it distributed

(Need this in R Script commands)

Interpret the tables below: R, R square

interpret the regression coefficients, either b or beta.

For which of the following research designs would a matched pairs test be ideal? a) You have data on the mean income of residents in 45 different cities from the 2010 census and income information on the same cities in 2018 and you want to see if average incomes have increased from 2010 to 2018 b) You have data on how a random sample of voters plan to vote before the most recent debate, and how another random sample in the same area plan to vote after the debate and you want to see if the debate swayed voters c) A matched pairs test would be ideal in all of the situations d) You have data on the mean GPA of students participating in Greek Life at the U of A and students participating in Greek Life at Temple University and you want to see if Greek Life students at the two universities have different GPAs on average

QUESTION 4 [27 marks] Suppose the following quarterly earnings (in N$ millions) have been recorded by Namibia breweries company for the years 2007 to 2010. Year Quarter 2007 2008 2009 2010 1 52 57 60 66 2 67 90 77 82 3 27 75 84 98 4 45 71 63 76 4.1 Compute the 4-period centred moving average for the quarterly sales. [4] 4.2 Compute the seasonal indexes for these quarterly earnings. [10] 4.3 Use the method of least squares from regression analysis to determine the trend line of best fit. Use the zero-sum method for coding. [10] 4.4 Using the trend line you produced in 4.3, estimate the trend value of the time series for Quarter 3 in 2014. [3]

1. Two companies A and B are in the same industry with identical earnings per share for the last five years. Company A has a policy of paying 40% of earnings as dividends while company B pays a constant amount of dividends per share is lower than that of B. The following is data on earnings, dividend and market price for the two companies.

Required:

1. Payout ratio
2. Divided yield
3. Earning yield

Set out below is the summarised statement of financial position of Berlin plc at 1 January 2010 K ASSETS Non-Current Assets Property, plant and equipment 250,000 Current Assets 150,000 Total Assets 400,000 EQUITY AND LIABILITIES Capital and Reserves Share Capital - K5 shares 200,000 Retained Earnings 80,000 280,000 Current liabilities 120,000 Total Equity and Liabilities 400,000 On 1/1/2010 Berlin acquired 100% of the shares of Hanover for K100, 000 and gained control. Required Prepare the statement of financial position of Berlin immediately after the acquisition if: (a) Berlin acquired the shares for cash. (b) Berlin issued 10,000 common shares of K5 (market value K10.). 4. Describe the requirement of IFRS 3 in relation to the revaluation of a subsidiary company's assets to fair value at the acquisition date.

Use the information about​ Billy's Burgers to answer the following​ question(s): ​ Billy's Burgers Figures in​ $ millions Income Statement 2010 Balance Sheet 2010 Net Sales 246.0 Assets Costs exc. Dep. 187.0 Cash 8.0 EBITDA 59.0 Accts. Rec. 21.0 Depreciation 17.2 Inventories 23.0 EBIT 41.8 Total Current Assets 52.0 Interest 12.0 Net PP​&E 145.0 Pretax Income 29.8 Total Assets 197.0 Taxes 10.4 Net Income 19.4 Liabilities and Equity Accts. Payable 18.0 LongminusTerm Debt 82.0 Total Liabilities 100.0 Total​ Stockholders' Equity 97.0 Total Liabilities and Equity 197.0 Using the percent of sales​ method and assuming​ 20% growth in sales and no change in interest​ expense, estimate​ Billy's Burgers' Net Income for 2011...... Please show all work!

On 1 January 2010, the CB Company purchased for $18000, new vehicle. The delivery cost was a $2000. CB estimated the vehicle will have a residual value of $2000 at the end of its useful life of 6 years. CB Company estimated the vehicle could drive 180,000 km. The vehicle was driven 10,000 km during the year ending at 30 June 2010; 20000 km in the year ending 30 June 2011; 5000 km in the year ending 30 June 2012.

Required: A) Prepare journal entries to record the depreciation for the first 3 years( assume straight line method is used)

B) Prepare the journal entry to record the sale of the vehicle for $3500 on 30 June 2012 using the reducing balance method.

C) Assuming straight line method was used, CB ltd sold the vehicle after one year for $18000. Record the transaction.

Develop a minimum 700-word analysis of inflation. Include the following:

• Choose a product or service you currently consume/use, such as apparel or educational services, that is included in the CPI's "market basket." Find the annual CPI index numbers for your chosen good or service for the years 1995, 2005, 2010, and 2015. Enter those index numbers in an Excel spreadsheet and calculate the percent change (inflation rates) in those index numbers from 1995 to 2005, from 1995 to 2010, and from 1995 to 2015.  
• Analyze the trends in overall inflation over the last five years and whether your income has kept pace with inflation. How has inflation over the last five years affected you and/or your family?
• Discuss how a business manager, such as a human resources manager, might use CPI statistics.

According to the 2010 US Census, the average number of residents per housing

unit for the n=87 counties in Minnesota was 2.10, and the standard deviation

was 0.38. Test whether the true mean number of residents per housing unit

in Minnesota in 2010 is less than the national value of 2.34 at the level

α

= 0

.

05.

a. Show all five steps of this test.

b. What type of error could we be making in this context?

c. What is the minimum average number of residents per household needed

in order to fail to reject H0? Assume the sample standard deviation is the same.

d. Suppose the true number of residents per household in Minnesota is normally

distributed with a mean of 2.0 and a standard deviation of 0.4. Suppose we reject

the null hypothesis if the sample means the number of residents is less than 2.27. What

is the probability of making a type II error?