File Name: Gas_Use. Number of obs. 30. Number of. Variables: 1. Number of. Variable Gas Source: Timothy Welnetz

Similar documents
6041 E 40th St, Indianapolis, IN 46226

45 Court Street New Haven, CT 06511

Jackson County Residental Market Trends. February Pending Sales New Listings

Jackson County Residental Market Trends. November Pending Sales New Listings

Cumberland County s 2010 Reassessment

Josephine County Residental Market Trends. January Pending Sales New Listings

Tri-Cities Insider September 2015

7224 Nall Ave Prairie Village, KS 66208

4533 NORTH AVENUE, SAN DIEGO, CA 92116

California Housing Market Update. Monthly Sales and Price Statistics September 2018

Analysis on Natural Vacancy Rate for Rental Apartment in Tokyo s 23 Wards Excluding the Bias from Newly Constructed Units using TAS Vacancy Index

Puerto Rico Housing Finance Authority Housing Stimulus Programs

POMONA APARTMENTS. 102 Pomona Ave, Long Beach, CA Jack McCann (310)

5914 Vineland Avenue NORTH HOLLYWOOD. Permits Paid - Shovel-Ready - Fourplex $725,000 DARIO SVIDLER

Moorestown, NJ 08057

Miami Beach, FL 33141

Solano County, California

California Housing Market Update. Monthly Sales and Price Statistics October 2018

4039 N Bonita Street List Price $ 639,000

Metro Boston Perfect Fit Parking Initiative

A STUDY OF THE DISTRICT OF COLUMBIA S APARTMENT RENTAL MARKET 2000 TO 2015: THE ROLE OF MILLENNIALS

110 N. Monmouth Ave Suite 106. Website: Phone: fax: REVISED October 12 th, 2018

LUXURY MARKET REPORT. - March

110 N. Monmouth Ave Suite 106. Website: Phone: fax: REVISED August 20th, 2018

The Impact of Using. Market-Value to Replacement-Cost. Ratios on Housing Insurance in Toledo Neighborhoods

Luxury 4 Bedroom Condo in River Run - 2 Minute Walk From the Gondola!

3636 N Linwood Ave, Indianapolis, IN 46218

Living in Parkersburg WV

THE VALUE OF LEED HOMES IN THE TEXAS REAL ESTATE MARKET A STATISTICAL ANALYSIS OF RESALE PREMIUMS FOR GREEN CERTIFICATION

14 Units PROBATE SALE. Rhett Winchell Real Estate Sales & Marketing CalBRE License # VANOWEN STREET, VAN NUYS, CA 91405

PREPARED BY: KET Enterprises Incorporated. & Mark Kalil & Associates, Inc.

657 S Belvoir South Euclid, OH Mark Khuri

California Housing Market Update. Monthly Sales and Price Statistics May 2018

8 Units in Salinas. 539 Terrace Dr Salinas, CA List Price: $750,000

The Corner House and Relative Property Values

San Jose, California

Ventana Ranch in Albuquerque, NM

Cook County Assessor s Office: 2019 North Triad Assessment. Elk Grove Residential Assessment Narrative April 16th, 2019

ECONOMIC CURRENTS. Vol. 4, Issue 3. THE Introduction SOUTH FLORIDA ECONOMIC QUARTERLY

Rental Apartments HORIZONS. tà Y á{~ ÄÄ. tà Y á{~ ÄÄ. Spacious. Affordable. Modern& For Active Adults. Luxurious. Located in the heart of Fishkill

RESIDENTIAL HALL APPLICATION FORM (ON CAMPUS ACCOMMODATION) FOR OFFICE USE ONLY RH Block D E L1 L2 Assigned Room No.

California Housing Market Update. Monthly Sales and Price Statistics November 2018

100% LEASED INVESTMENT

Northgate Mall s Effect on Surrounding Property Values

Coachella Valley Median Detached Home Price Mar Mar 2018

Outshine to Outbid: Weather-Induced Sentiments on Housing Market

Clarksville, TN 37040

California Housing Market Update. Monthly Sales and Price Statistics August 2018

Allegheny County, Pennsylvania

The Market Watch Monthly Housing Report. Coachella Valley Median Detached Home Price Dec Dec 2016

90 Alton Rd, Miami Beach, FL 33139

East Elmhurst, NY 11369

Brockway Springs Resort Rate Sheet Phone Kings Beach, CA 96143

110 N. Monmouth Ave Suite 106. Website: Phone: fax: REVISED September 17, 2018

California Housing Market Update. Monthly Sales and Price Statistics December 2018

Geographic Variations in Resale Housing Values Within a Metropolitan Area: An Example from Suburban Phoenix, Arizona

Centennial, Colorado

NEIGHBORHOOD REPORT. Aurora, CO P r e s e n t e d b y The Hotz Group REALTOR 773 -

NEIGHBORHOOD REPORT. Arvada, Colorado. P r e s e n t e d. b y The Hotz Group REALTOR 773 -

NEIGHBORHOOD REPORT. Longmont, CO 80503

and characteristics, legal considerations, influences on real estate values, types of value,

Cook County Assessor s Office: 2019 North Triad Assessment. Norwood Park Residential Assessment Narrative March 11, 2019

San Jose, CA NEIGHBORHOOD REPORT. W o rk : ( 408 ) 2575 o t t I n t e ro R e a l E st a t e. c o m. M a i n : S D e l a c

Initial sales ratio to determine the current overall level of value. Number of sales vacant and improved, by neighborhood.

Scottsdale, AZ 85259

Residential December 2010

2163 S Delaware St, Indianapolis, IN 46225

86 years in the making Caspar G Haas 1922 Sales Prices as a Basis for Estimating Farmland Value

Coachella Valley Median Detached Home Price Jan Jan 2017

ATMACK Licensed Real Estate Brokerage in NY, CT, GA, MA, PA, WV

5004 N Bay Rd, Miami Beach, FL 33140

NEIGHBORHOOD REPORT. Irwin, PA RE/MAX Realty Access

Residential December 2009

*RENT LIST* 1 Time $25.00 per adult application processing fee for all of the location listed. Move anywhere on the list! *RENT LIST* 1 Stop Housing

4005 Guilford Ave, Indianapolis, IN 46205

4215 Evanston Ave, Indianapolis, IN 46205

Investit Software Inc. INVESTMENT ANALYSIS RETAIL EXAMPLE USA USING RENT ROLL AND TWO CATEGORIES

Sun Filled Union Square Penthouse Home $2,300, East 16 th Street, New York, NY between Park Avenue and Irving Place

Coachella Valley Median Detached Home Price April April 2017

Puerto Rico Housing Finance Authority Housing Stimulus Programs

SMALL INVESTORS CAN NOW PROVIDE TURNKEY PROPERTIES NATIONWIDE

110 N. Monmouth Ave Suite 106. Website: Phone: fax: REVISED March 15 th, 2019

YTD TOTAL VOLUME YTD SOLD PROPERTIES Q: WHAT IS YOUR HOME WORTH? A: CALL ME. SOLD DOM

Almaden Valley in San Jose, CA

110 N. Monmouth Ave Suite 106. Website: Phone: fax: REVISED March 26 th, 2019

LUXURY MARKET REPORT. - May

Village of Glenview Zoning Board of Appeals

*Predicted median absolute deviation of a CASA value estimate from the sale price

Housing market and finance

Map FPO. Rental Apartments HORIZONS. tà fvtäxá cätét. Rendering FPO. tà fvtäxá cätét. Spacious. Affordable. Modern& For Active Adults.

110 N. Monmouth Ave Suite 106. Website: Phone: fax: REVISED January 25 th, 2019

North Star My City - July 4, Sample Apartments Jane Doe John Doe. My City My Submarket

Phone: Fax: Commissioners Road, W. London, Ontario N6J 1Y3 STATISTICAL REPORT. (for month ending April 30, 2014)

110 N. Monmouth Ave Suite 106. Website: Phone: fax: REVISED November 9 th, 2018

Village View FOR SALE $1,325, PROFORMA. 16 Units 2 Bed 11/2 Bath Gated Courtyard and Parking Many Upgrades SOLD AS-IS

Charming and Updated 2 Bedroom with High End Finishes!

The Desert Housing Report. Coachella Valley Median Detached Home Price December December 2018

ICONIC EXCELLENCE IN REAL ESTATE PRIME NOHO ARTS DISTRICT

Definitions ad valorem tax Adaptive Estimation Procedure (AEP) - additive model - adjustments - algorithm - amenities appraisal appraisal schedules

$4,950,000 8,675 $571 $31, ' 125 Madison Street Is being offered at LISTING METRICS. Peter Von Der Ahe

Transcription:

Table 1. Gas Use The gas use data are provided by Timothy Welnetz. The data was collected at his home in Madison, Wisconsin over the dates Sunday January 25, 2004 through Monday February 23, 2004 for a total of 30 time-series observations. Each observation was taken at 8am of the given day and represents the amount of natural gas used (in hundreds of cubic feet) at his home in the previous 24 hours. The purpose of collecting the data was merely to fit various basic time-series models to it and determine quality of fit and prediction for instructional purposes. Gas_Use Gas Source: Timothy Welnetz obs. 30 s: 1 Daily gas use in 100s of cubic feet Table 1 Gas 1 6.1 2 5.0 3 5.0 4 8.4 5 7.1 Table 2. Assessments The home assessments data are provided by Timothy Welnetz. The data was collected from the City of Madison Assessor s Office at http://www.cityofmadison.com/assessor/ in 2005 to compare assessments on the improvements to land (the immovable man-made objects, such as the house and garage, if any) of homes with Lake Mendota water frontage to homes without Lake Mendota water frontage in the Tenney- Lapham neighborhood of Madison, Wisconsin. I collected data on 124 single family residences in this neighborhood focusing only on homes in areas 83 and 28 of the Tenney-Lapham neighborhood and only those homes within one block of Lake Mendota and between N. Ingersoll Street and Baldwin Avenue. The data was not randomly selected, but every home within the defined boundaries above was sampled. Assessments Location Area Assessment obs. 124 s: 3 A categorical variable that denotes whether the property has Lake Mendota water frontage or not Square feet of the living area of the property 2005 assessed value (in thousands of dollars) of the improvements to land Source: City of Madison Assessor s Office, available at http://www.cityofmadison.com/assessor/

Table 2 Location Area Assess 1 No Water 1895 299.2 2 No Water 1934 239.3 3 No Water 1392 207.3 4 No Water 1562 174.4 5 No Water 1440 167.5 Table 3. Ice Cream Sales The ice cream sales data are provided by Timothy Welnetz. This time-series data was made up for instructional purposes to practice correlation and simple regression analysis on data with an outlier. Ice_Cream_Sales Day Temp Sales Source: Timothy Welnetz obs. 20 s: 3 a time index variable High temperature for the day in degrees Fahrenheit Ice cream sales in hundreds of dollars Table 3 Day Temp Sales 1 1 65 20 2 2 68 22 3 3 66 21 4 4 75 23 5 5 81 25 Table 4. House Prices The house prices data was collected by several students for a student project. The data are from houses sold in a community in the state of Oregon (in the early 1990s?). The data was incorporated into a text called Practical Data Analysis: Case Studies in Business Statistics by Peter G. Bryant and Marlene A. Smith first published in 1995. House_Prices obs. 108 s: 2 SQ_FT Square footage of the house PRICE Selling price (in thousands of dollars) of the house Source: Practical Data Analysis: Case Studies in Business Statistics second ed. by Peter G. Bryant and Marlene A. Smith

Table 4 SQ_FT PRICE 1 1238 59.9 2 1707 64 3 1296 66.5 4 1320 66.5 5 1210 69 Table 5. House Prices II The house prices data comes from houses sold in a community in the state of Oregon (in the early 1990s?). The data was collected by several students for a student project. The data was incorporated into a text called Practical Data Analysis: Case Studies in Business Statistics by Peter G. Bryant and Marlene A. Smith first published in 1995. House_II_for _Lab_Practice obs. 108 s: 11 SQ_FT Square footage of the house BEDS bedrooms BATHS bathrooms HEAT A binary variable 0 is gas forced air heating and 1 is electric heat STYLE Architectural style of the home: 0 is two-story, 1 is tri-level, 2 is ranch GARAGE cars that can fit into the garage BASEMENT A binary variable 0 is no basement; 1 is there is a basement AGE Age of the home in years FIRE A binary variable 0 is no fireplace, 1 is there is at least 1 fireplace PRICE Selling price (in thousands of dollars) of the house SCHOOL A binary variable 0 is Eastville school district and 1 is Apple Valley school district Source: Practical Data Analysis: Case Studies in Business Statistics second ed. by Peter G. Bryant and Marlene A. Smith Table 5 SQ_FT BEDS BATHS HEAT STYLE GARAGE BASEMENT AGE FIRE PRICE SCHOOL 1 1238 3 2 0 0 1 1 12 59.9 1 2 1707 3 2 1 0 2 0 13 64 0 3 1296 4 2 0 0 2 1 17 66.5 0 4 1320 3 2 0 0 2 1 11 66.5 0 5 1210 3 2 0 0 1 0 6 69 0

Table 6. Premium The premium data was collected by several students for a student project. The data represent characteristics of 86 drivers and their relationship to how much they pay for their car insurance. The data set and corresponding correlation and regression analysis was incorporated into a module called Selection as part of a larger compilation called the Data Analysis Handbook written by Marlene A. Smith. Premium Age_Drvr Age_Car Tickets Discount Female Premium obs. 86 Source: Data Analysis Handbook by Marlene A. Smith s: 6 Age of the policyholder in years Age of the insured vehicle in years traffic violations received by the policyholder within the last three years discounts applied to the policy Sex of the insured - binary variable coded 1 for females and 0 for males The amount paid for six months of insurance coverage Table 6 Age_Drvr Age_Car Tickets Discount Female Premium 1 75 2 0 2 0 391.9 2 23 6 0 2 1 551.1 3 74 3 2 2 0 654.2 4 24 5 0 2 1 517 5 21 1 0 3 0 1067.6 Table 7. Retail Sales The Retail Sales data was retrieved by Timothy Welnetz from the US government s census website at http://www.census.gov/retail/mrts/historic_releases.html. The data collected is monthly U.S. retail sales including food sales (seasonally unadjusted) in billions of dollars beginning January 2001 and ending June 2006 for a total of 66 time series values. The purpose of collecting the data was merely to fit various basic timeseries models to it (including several that incorporate seasonal components) and determine quality of fit and prediction for instructional purposes. Retail_Sales Mo./Yr. obs. 66 s: 2 Month and Year the value corresponds to

Sales Source: http://www.census.gov/retail/mrts/historic_releases.html US Retail Sales in billions of dollars Table 7 Mo./Yr. Sales 1 Jan-01 251.059 2 Feb-01 248.078 3 Mar-01 280.749 4 Apr-01 275.160 5 May-01 296.459 Table 8. Pulse Rates The pulse rate data was collected by Timothy Welnetz for instructional purposes to demonstrate regression analysis concepts in the context of a designed experiment. The data set consists of thirty pulse rate readings taken from a heart rate monitor at the end of each minute walking on a treadmill. In addition, two factors were varied randomly for each minute: treadmill speed, ranging from 3.6 to 4.8 miles per hour and treadmill incline, ranging from no incline to an incline at a setting of 8. The maximum incline setting was 15. Pulse_Rates obs. 30 s: 4 Period The time period (minute) on the treadmill in which a pulse reading was taken Incline Incline of the treadmill (0, 4, or 8) Speed Walking speed on the treadmill (3.6, 3.9, 4.2, 4.5, or 4.8) Pulse Pulse rate (beats per minute) Source: Timothy Welnetz Table 8 Period Incline Speed Pulse 1 1 0 4.2 115 2 2 0 4.8 125 3 3 8 4.5 138 4 4 4 3.6 127 5 5 0 4.5 124 Table 9. Start Renting 2003 The Start Renting 2003 data was collected by Timothy Welnetz from a Madison, Wisconsin apartment rental resource magazine called Start Renting from a January, 2003 issue. The data collected consists of three apartment characteristics for apartments located in Madison, Wisconsin. The primary reason for collecting this data was to see and model the relationship between two metric variables while incorporating a third binary variable.

Start_Renting_2003 Location Sq Ft Rent obs. 200 Source: Start Renting Magazine, January 2003 issue s: 3 Area of Madison where the apartment is located: South or West Square footage of the apartment Monthly rent for the apartment Table 9 Location Sq Ft Rent 1 South 353 440 2 South 430 490 3 South 450 525 4 South 500 480 5 South 550 515 Table 10. Start Renting 2010 The Start Renting 2010 data was collected by Timothy Welnetz from a Madison, Wisconsin apartment rental resource magazine called Start Renting from an August, 2010 issue. The data collected consists of fifteen apartment characteristics for apartments located in Madison, Wisconsin. The data can be used to model characteristics of apartments that relate to apartment rent, for example. Start_Renting_2010 obs. 256 s: 16 Apartment Apartment identifier Location Area of Madison where the apartment is located: West, Near West, Central, Near Eastm North, Northeast, Southeast, Southside Type Type of Apartment: Room, Studio, Efficiency, or 1 to 6 Bedroom Rent Monthly rent (in dollars) Size 97 Size in square footage Baths bathrooms Heat Whether heat is included: 1=yes, Elec Whether electricity is included: 1=yes, Air Whether air conditioning is included: 1=yes, Water Whether water is included: 1=yes,

Appl Laund Garage Bus Cats Dogs Source: Start Renting Magazine, Aug. 19 Sept. 1, 2010 issue Whether appliances are included: 1=yes, Whether laundry facilities are onsite: 1=yes, Whether a garage is available for parking: 1=yes, Whether the apartment is located on a busline or not: 1=yes, Whether cats are allowed: 1=yes, Whether dogs are allowed: 1=yes, Table 10 Apartment Location Type Rent Size Baths Heat Elec Air Water Appl Laund Garage Bus 1 1 West Room 700 1 1 1 1 1 1 1 0 1 2 2 West Studio 476 400 1 0 0 1 1 1 1 0 1 3 3 West Studio 505 340 1 0 0 1 1 1 1 0 1 4 4 West Studio 524 485 1 1 0 1 1 1 1 0 1 5 5 West Studio 535 1 0 0 1 1 1 1 0 1 Table 10 Example of the first five observations continued: Cats Dogs 1 0 0 2 1 0 3 1 1 4 1 0 5 0 0