Question: Please answer ASAP! will upvote! much appreciated! here is the rest of the information, thank you! WIN A N 5 N WN . A N
Please answer ASAP! will upvote! much appreciated!
here is the rest of the information, thank you!
WIN A N 5 N WN . A N N 4 N N DE N 1 Ah N N SE N N $ WA A N A N N O GE . ET N + o + N . 5 N N N Die Gender partiet DWI CRY Mae Ye Air of CH Car Bodype ARS Antithe ag Arcom Use Reg toe te Premi N Chow 2 G 2 . Street MO vw Ton > fede 7 1 treet IT N w Well 2001 12 Ten 4 2 Ger ww/les un N re VW 2017 Compe 2 Garn ? we 1 Srode N 0 102 . Street PO LIH N de Mere 2018 White Van Y 1 Y 1 Sarage Pere Gree 5 777 Y 1924 1 Van N 0 N Wor onde 2010 $1212 sid Van T 2 27 www.es Le N Cancer 2011 Red wy . D Pem N 51.2 UV N 0 N Grp w 1922 $ ne od o N De N Wor Low N 5 Candy Chew O 10 34 V 1 N NA Gare PO N 19721 $ Chery 2 N N 7 N won Ow N 5 1 19 Y OUP 1 Y N . de 2013 05 Pod N N 19 David 2005 15 we Own LT. + Huru 7 DY 0 Wor N 315 Coupe Y NA Cara 5 N Canede 1992 Por Om 5 L wy N . N Garap 91 1 3 Guld 1 3 Greene 0 1 w Gold Lene 1 5 N Lockport 28 SUV HO 5 913 . N w Sport www 03 NA N bre 2 2008 Wort 2M 7 Sedan 1 2 Own Coupe . 1 N 2012 Tas Y ws Sot 10 2 N De ford 0 D DY Yeni 1 3 43 We N 0 way 100813 wes Ows 2 trid NA 5 GO benevende 104 ws NA 5 3 Wor Ow 5 De 0 15 . Yew Helene 1 N 19 . w N N . N Blue Se . + 19 w 1 NA 0 09 2019 Wu BITS 7 . By Oy ded ser 2 NEW 10 N be A N N N PNS N 4 N 4 AN N 6 4 | Wat 0 IT WN N . N N N . N WN N N A N N IR . 6 N NA 4 Units/Coding M Male, F-Female Years Y=Yes, N- No Years, N/A no accident Y-Yes, N No 2 Label Content 3 Driver A serial number assigned to each driver 4 Gender Gender 5 Age Age of Driver 6 Points Points on license from traffic violations 7 Vision Correction Corrective eyeware required 8 YearsLast Acc Time since last accident 9 DUI/DWI Convicted of either DWI or DUI 10 City Mailing address city 11 Make Manufacture/brand 12 Year Modle year 13 Color Main color of car 14 BodType Body style 15 ABS Has ABS breaks 16 Air Bags Number of airbags in car 17 AntiTheft Anti-theft device(s) installed 18 Parking Where Car is Parked at Residence 19 AvgDayCom Average Dailey Commute 20 Use How vehicle is used Registration Ownerships 22 MutiPolDisc Discount for Multiple Policies 3 Premium Annual Vehicle Insurance Premium 4 Y-Yes, N.No 21 Reg y Yes, N No On Street, In Driveway, In Garage/Carport Miles Work, Pleasure, WrkPles Work and Pleasure Owned by insured, leased by insured, ownd by third party Y-Yes, N= No Dollars Required Analysis: 1) Uring the swois, average and cu functions, create the exhibit below on page one of your Excel workbook, showing (for each town shown) the number of customers and their average age, average daily commute, and total premium billed Change the tab label on this worksheet from "Sheetl" to "QI". NOTE: Pivot tables are not meant to be used for this portion of the project. Customers Number Avg Age Town Avg Daily Commute Total Premiums Albion Brighton Depew Holly Medina 2) On the second sheet of your workbook, change the tab label from "Sheet 2" to "Q2" and then do the following a) Use the frequency function to create frequency distributions for Age, Daily Commute, and Premiums Paid. Class widths and bounds are left to your discretion (use at least five classes though) b) Use the comitif function to create frequency distributions for make and body type 3) For parts a) through g) below, create separate pivot tables that provides the information requested. Use separate workbook pages for each table, with pages labeled Qa, Qb Qc, etc. a) Number of cars by Body Type and Type of Registration b) Average customer age by Make and Use c) Average automobile age by City and Where the car is parked (hint year is not the age of the car) d) Average Commute by Points and Use e) Average policy premium by Color and Parking 1) Average policy premium by Points and Gender g) Number of cars by Number of Points and Type of Registration. . Create (on separate pages of your workbook) pivot tables that will indicate: h) The age of the oldest driver in each town. 1) The number of drivers that have not reported an accident in the last ten years by gender D Use a pivot table to generate the information required to create the exhibit shown below. The columns should indicate the number of cars that have antilock breaks and or anti theft devices and the rows should show the number of cars by multi policy discount status. Your exhibit must follow the row/column ordering shown and the exhibit should include only the columns shown b) Create a similar exhibit to that created in part), analyzing average premium for each category Anti-lock Breaks Anit-Theft No Anti Theft Standard Breaks No-Anti Theft Anti-theft Total Multi Policy Disc No Discount Total Update the sheet tab labels, for workbook pages used for parts h-k above, to Ok Onete Update the sheet tab labels, for workbook pages used for parte h-k above, to Ok Qi, etc 4) Use Excel to Format the pivot tables appropriately, including a) Proper and alpranent of ritumbers and labels, b) A reasonable number of decimal places (large numbers do not need decimal places, and integer phenomena should not have decimal place) c) Proper formatting (dollar, comma, etc.) Note: Leave formatting and editing of labels until the exhibits are transferred to MS Word ) On each workthet in your workhook create a label (ex in cell A1) that desenben the exhibit() shown on that page, eg Average policy premium by Points and Gender 6) Add footers with your name and page numbers to the bottom of each page in the workbook 7) Post your spreadsheet to the drop box provided on blackboard. Make sure you use the file naming convention conveyed in the course syllabus Ayo het MP ple 1 W 1 WA N Van M tur Ch . od Het is ADVOGY Yu WA Ow www 2002 NA w modern 35 N G www 2000 w CM UY N 3 Y Van Van - 1 . DIT OWY w ww/ N N N . D WEL Y he N 3 . 11 VAR tu be unan no Y Own 1 3 N N N Y 11 N N Y CH W 0 TE TE w w w w N WO N N 51 1 0 N 4 de 2017 Die 2011 wind Coupe Y 10 2 N/A NA 1 2 N N N Y + A Van 1 5 MO w w 00 V 1 N 100 N N SUV N A N N 23 2) 10 N N We 1 N liet AD w --- Y . 20 W JY w N N N N Dw WW wi WW Wow WA 1 19 while 0 5 N weet RE NA M 0 W/ W MAR MA 0 W N 7 N No N w w w S 14 N N NUR + w ww Com 2017 Cho ch 30W N On N ww 0 w inData Coding IT " 8 3 w 3 DEN N $ NA 33 34 N Oy 5 1 WA NA 1 ter N 5 LI NUN WO 5 5 3 2000 1 + 5 HARO 5 w 31 4 . 2 . > V N N $ 3 WO M . 000 WO SE 21 M 7 O w D + 1 . 73 2 See w will 5 12 1 1 . 11 TU 50 ---- NH re 1 20 w HOW 27 10 M NA A Invata LOG N 2 Ow N + VA Sot sadan N N 1. RO Dwww 1 NA 0 0 00 N N 2011 W 2017 Red www 200 W 2005 Mode Calat 1917 Gender 200 Gold Medinede 5 N N N N N Pere Own w Sport V N N WY 1 11 93 S 5 1 WE ow N NIA 10 DW Driver 1 Sedan Sedan N 06 N N N N N M Dew Det 7 0 W Pensure Own HO 7 TE 0 NA N N Y N N N N N de 2001 Alto Wunde White adequat Sedan DIE 5 3 5 1117 N ME www. 8 N CO N 1 WIN Y N + Ga GA $ Wh Wor Work Own wis own pleasure On w STY wilo 2 1 1 1 2 5 NA NA WA N N N N SUV 0 SE 910 300 LOL 1,7 G M V 5 5 N 4 N SET 0 N 10 1 . 2 SUV wondo rochie Med Toote 200 W om toyota 2000 Med vw 2011 Huntil you Canada Mercedes Lot 2017 White DO 2012 Wells Ford 2005 ich w 2011 White 2015 Tan who 2017 Tan Willow WW N N N N N 24 1 200 12 104 N/A N/A 10 1 Om Insid Se S One Dwy DWww Car D Street Y 4 N N Y 1 M 7 7 100 N N 5 5 N N NA NA N in N N N N wales w ww/les Own WE Dw Mar Wor Own Wor Own Wor Le Coupe Sedan SUV Sedan SUY Van Sedan Sedan SUV Vin SU Van SUV LO 2 1 1 TE 0 TE ot N/A NA 1 A M 111 1 1 3 Street DV Gora Drwy 5 5 $ N N N N N 1 41 45 WN 2 N N Chow 2018 2006 WC 2017 Runde 2015 200 2001 WHILE Min Met Blue Canada Mere 2013 Grand 2000 White Per own e Own BE 11 11 U VE N N 5 9 N ON D 10 N 2 WN wiedy Wor Planet 11 TIN N N N Sport Sodan 2 NI G N 5 InsDate Coding 1 DU 3 1 N N N 7 MER Hinta Wh GO M w N N N 1A 11 MIS 1 DW Wies LE NA N CO wy W 4 Am N N N SO 51 Om WX Dan an use At Mendes Hot urech dole 5 1 w w N 5 1 w N 1 N N N TE 10 1 7 wa + N ih 1 N A N N 10 A w N N N 519 1 10 10 NA NA NA WA 1 N/A W. > + OM 3 N Y O LI 1 N N 0 N N N N N N 300 --------- 0 M Heuren we can WH ww/ 50 4 CHE N N N NIE O 5 LO 10 N Y WA NA N N 141 1 N 35 0 4 9 PE N 361 A N N N 4 N/A NA 16 WA contro 200 SU Canada w 2006 SUV VW tin Van on w the Yew cher BV 2011 wat 2001 Abu ord SU am HY D White won ww 300 Solan Hechy ed 2010 Gold Spon Ayuda chew Bold A ww 3002 Banford 03 co ton Ford SLIV cate Gewind white Alion Chewy Ton N N $ N N N A N DI G 3 0 A N 0 101 1 D w wres D How w W w w Here W Wow w w Plow ww/ rown wa WON Here N A N N N M N LORE 51 1 N SE N 11 19 1 . WA 1 N N 5 THA CH N new 5 13 15 N A N UN DE N 3 N 104 --- insData 4 110 NY w WO WHO yet C 2 14 3 N A > ws WW 30 V w M 1 1 . 3 dot Sot UE N w WO 110 . 2 N. NE . Y 1 N . Sect 23 w NA . . 5 N N YA BU SUV 000 N 2 N 1 Wh W Wis PO 5 1 3 N G DO Can Couce Ver 3 NA 101 . 2 + 13 . N $ V N Web wa 12 . 1 IM NU OLY + 1 > N N Wh 22 1 M 1 20 w w N Ole 16 N w WA 1 Lady V Y M w w NE Ch 5 3 NA wa Ve w N InsData 2001 WO w 1 w w Oy w wi -----------23395 114 1 pes - 110 1 WO N VH 5 20 001 2 w w 1 N 5 03 10 N 1 NA N WN w 1 . E 4 18 N > 1 1 . Love me we N HET SEP M 1 NA N . 1 941 w . NA 08 InData Wet N Sn U WW 0 AL 1 4 no MALE + Gde Dwi w MUA N N D We can 3 NA CE 1 N A w D wet 1.1 w 14 . bum www De the the W Www . We Cande 21 DY W N We un N/A N 1 NE 0 M N N w WOW Y 5 111 DE WA hum N Ford 42 2007 Wie N N SI BE N N w N w w Der WA N 1 WA WA www Wilton Da Our N M > 20 N 1 wir 1 N N 3 Ow WWW WA 2 N 11 NIS 0 Pere w wil Own W N 1 ch + NA N N w N MN G . LI N ON wan HOW 1 BO Center 1 . 1 LE WE 1 Wies W IN video CE re MARIO N De und JUWIE 300 51 HO Ins Data Coding 29 w un M O 1 11 1 2 IR 00W VW 11 WN wa will We w M w NA 1 DY 1 Chow Van Wh N w N N M ty WH 1 M Www MIN N w WW w 1 ws M w 18 N 1 M UN www Chalet w ws N/ N/A WA NA 141 51 M 1 MIV Van VaR N 11 G w w nawi www we an put che shume Wie w 0 WO Ww M 441 N N M 14 N M 9 WA 1 3.00 Me V VE WE w w N 81 w NA N/A M 5,153 Dewch White ww W Merwe N 119 N M D D 3 N Mb Coupe DE DU 23 20 N Y 23 Play Wate 2 w 7000 W 2009 Gold 2019 an 2014 W NA SU OW 2 an D D N N N N Power wo O WN SUV A N 1917 2 . N Low 25 75 tut 27 N N N N 19 27 > We Own A + 1 + WN WN LI 77 + WO 5 30 Y N Y N NA N N N 0 2 12 1 2 NE N 0 0 CE Gas Oy 5 9 TS 3 14 10 N M LO Y 1 WN N 1 W Wort O wrest w On wan Own Www We Own Poste Ww Pour Our WE A N N N N A N 1 . 1 2 tu Oy OW 3 3 5 3 $ V Y N NA 2 15 HO 119 17 A 1 N N A Gaur . N 6 . CHE 16 www on vw IMS Red benevende Dyr LUV Welt 11 W Coupe www 2004 W Coupe Aubin WWF G Coupe 2011 Van Dope Hunde WY 2003 Van Dan with DID TO 2016 W Calil Tan ondeopota V Merlin Do Tan SOV Sport 2013 Ver w Due Dame toda Ali 2010 V an Fond Yol Vin wwe Dole Het Calle Yew Dupew 2015 SU MP 1 Ant N N wie Le 4 N 5 9 3 M H WIT 161 11 1 N 11 N N N M N www N N 19 1 W D We Durt ws/les own ws N N CE 3 N GE N N 1 N $ 71 11 N N N N 06 N 5 N NA NA N/A 2 NIR 10 1 1 NA 10 NIA Wor N Y N N N M N N . 21 4 3 ST ISE 2 1 1 N N 13 N N N N 1 HOT 33-3-3- N N M 11 N 0 0 N WI WIN/P ww HO w w Meest ured N N N N N N w 14 NA DS M M Y Y SE N WA w w InsData W -3-3-3-32 + 41 M 40 1 1 InsDate 12 w N 2 M MW PY w ww w N For w N N 1 21 NA N OW w wew www/ N > G MW w try Med den 19 w WN WN An F N Dri NA SE 1 Den N N N w to chy WN CH wy Game M 6 MI WO M WN Da li N N N N N N WWD w WW Am 4 0 10 Van ? 1 2 1 WOW D N HE M . N ANS ------ One Dhew the AG Meno MVW word X NA NA NA 0 1 W N V D DI N 2010 An w L SIN Var N 1 1 1 W Cand Cheetode N/A N N N N N N 41 LU 1 Den UP A N M M 10 V V AL ww Cotton WIE N 1 Please N N N N Y N MY NA OM DW AM w w M re N AN 4 AN w u Chy. Toyota WE N NIA UP 2006 TI w InsData od whe D * MILE . Torte IV Van 1 Wie w ww/ ww while ht War 18 C che 101 VW V w wi w 2 1 N So White 2 AN w WN UE Auww w M N WE me 4 Cher 1 N WN N N N Star w DOW C WAGON WN 5 w nue N N N 11 N 22.- 232-5-5-35-1 N N w 40 w Cane w N WY VE 1 N TE HOW N chetto We N N w 45 Ver N/ WY Y N . 1 N Mb wy N WN 1 thundeed Nuwak choy Wi N N HORY w N N LS 16 ON WH WN Cape N N Depewe Me Tan La Oy ene 300 W WE wo 1 inData od WIN A N 5 N WN . A N N 4 N N DE N 1 Ah N N SE N N $ WA A N A N N O GE . ET N + o + N . 5 N N N Die Gender partiet DWI CRY Mae Ye Air of CH Car Bodype ARS Antithe ag Arcom Use Reg toe te Premi N Chow 2 G 2 . Street MO vw Ton > fede 7 1 treet IT N w Well 2001 12 Ten 4 2 Ger ww/les un N re VW 2017 Compe 2 Garn ? we 1 Srode N 0 102 . Street PO LIH N de Mere 2018 White Van Y 1 Y 1 Sarage Pere Gree 5 777 Y 1924 1 Van N 0 N Wor onde 2010 $1212 sid Van T 2 27 www.es Le N Cancer 2011 Red wy . D Pem N 51.2 UV N 0 N Grp w 1922 $ ne od o N De N Wor Low N 5 Candy Chew O 10 34 V 1 N NA Gare PO N 19721 $ Chery 2 N N 7 N won Ow N 5 1 19 Y OUP 1 Y N . de 2013 05 Pod N N 19 David 2005 15 we Own LT. + Huru 7 DY 0 Wor N 315 Coupe Y NA Cara 5 N Canede 1992 Por Om 5 L wy N . N Garap 91 1 3 Guld 1 3 Greene 0 1 w Gold Lene 1 5 N Lockport 28 SUV HO 5 913 . N w Sport www 03 NA N bre 2 2008 Wort 2M 7 Sedan 1 2 Own Coupe . 1 N 2012 Tas Y ws Sot 10 2 N De ford 0 D DY Yeni 1 3 43 We N 0 way 100813 wes Ows 2 trid NA 5 GO benevende 104 ws NA 5 3 Wor Ow 5 De 0 15 . Yew Helene 1 N 19 . w N N . N Blue Se . + 19 w 1 NA 0 09 2019 Wu BITS 7 . By Oy ded ser 2 NEW 10 N be A N N N PNS N 4 N 4 AN N 6 4 | Wat 0 IT WN N . N N N . N WN N N A N N IR . 6 N NA 4 Units/Coding M Male, F-Female Years Y=Yes, N- No Years, N/A no accident Y-Yes, N No 2 Label Content 3 Driver A serial number assigned to each driver 4 Gender Gender 5 Age Age of Driver 6 Points Points on license from traffic violations 7 Vision Correction Corrective eyeware required 8 YearsLast Acc Time since last accident 9 DUI/DWI Convicted of either DWI or DUI 10 City Mailing address city 11 Make Manufacture/brand 12 Year Modle year 13 Color Main color of car 14 BodType Body style 15 ABS Has ABS breaks 16 Air Bags Number of airbags in car 17 AntiTheft Anti-theft device(s) installed 18 Parking Where Car is Parked at Residence 19 AvgDayCom Average Dailey Commute 20 Use How vehicle is used Registration Ownerships 22 MutiPolDisc Discount for Multiple Policies 3 Premium Annual Vehicle Insurance Premium 4 Y-Yes, N.No 21 Reg y Yes, N No On Street, In Driveway, In Garage/Carport Miles Work, Pleasure, WrkPles Work and Pleasure Owned by insured, leased by insured, ownd by third party Y-Yes, N= No Dollars Required Analysis: 1) Uring the swois, average and cu functions, create the exhibit below on page one of your Excel workbook, showing (for each town shown) the number of customers and their average age, average daily commute, and total premium billed Change the tab label on this worksheet from "Sheetl" to "QI". NOTE: Pivot tables are not meant to be used for this portion of the project. Customers Number Avg Age Town Avg Daily Commute Total Premiums Albion Brighton Depew Holly Medina 2) On the second sheet of your workbook, change the tab label from "Sheet 2" to "Q2" and then do the following a) Use the frequency function to create frequency distributions for Age, Daily Commute, and Premiums Paid. Class widths and bounds are left to your discretion (use at least five classes though) b) Use the comitif function to create frequency distributions for make and body type 3) For parts a) through g) below, create separate pivot tables that provides the information requested. Use separate workbook pages for each table, with pages labeled Qa, Qb Qc, etc. a) Number of cars by Body Type and Type of Registration b) Average customer age by Make and Use c) Average automobile age by City and Where the car is parked (hint year is not the age of the car) d) Average Commute by Points and Use e) Average policy premium by Color and Parking 1) Average policy premium by Points and Gender g) Number of cars by Number of Points and Type of Registration. . Create (on separate pages of your workbook) pivot tables that will indicate: h) The age of the oldest driver in each town. 1) The number of drivers that have not reported an accident in the last ten years by gender D Use a pivot table to generate the information required to create the exhibit shown below. The columns should indicate the number of cars that have antilock breaks and or anti theft devices and the rows should show the number of cars by multi policy discount status. Your exhibit must follow the row/column ordering shown and the exhibit should include only the columns shown b) Create a similar exhibit to that created in part), analyzing average premium for each category Anti-lock Breaks Anit-Theft No Anti Theft Standard Breaks No-Anti Theft Anti-theft Total Multi Policy Disc No Discount Total Update the sheet tab labels, for workbook pages used for parts h-k above, to Ok Onete Update the sheet tab labels, for workbook pages used for parte h-k above, to Ok Qi, etc 4) Use Excel to Format the pivot tables appropriately, including a) Proper and alpranent of ritumbers and labels, b) A reasonable number of decimal places (large numbers do not need decimal places, and integer phenomena should not have decimal place) c) Proper formatting (dollar, comma, etc.) Note: Leave formatting and editing of labels until the exhibits are transferred to MS Word ) On each workthet in your workhook create a label (ex in cell A1) that desenben the exhibit() shown on that page, eg Average policy premium by Points and Gender 6) Add footers with your name and page numbers to the bottom of each page in the workbook 7) Post your spreadsheet to the drop box provided on blackboard. Make sure you use the file naming convention conveyed in the course syllabus Ayo het MP ple 1 W 1 WA N Van M tur Ch . od Het is ADVOGY Yu WA Ow www 2002 NA w modern 35 N G www 2000 w CM UY N 3 Y Van Van - 1 . DIT OWY w ww/ N N N . D WEL Y he N 3 . 11 VAR tu be unan no Y Own 1 3 N N N Y 11 N N Y CH W 0 TE TE w w w w N WO N N 51 1 0 N 4 de 2017 Die 2011 wind Coupe Y 10 2 N/A NA 1 2 N N N Y + A Van 1 5 MO w w 00 V 1 N 100 N N SUV N A N N 23 2) 10 N N We 1 N liet AD w --- Y . 20 W JY w N N N N Dw WW wi WW Wow WA 1 19 while 0 5 N weet RE NA M 0 W/ W MAR MA 0 W N 7 N No N w w w S 14 N N NUR + w ww Com 2017 Cho ch 30W N On N ww 0 w inData Coding IT " 8 3 w 3 DEN N $ NA 33 34 N Oy 5 1 WA NA 1 ter N 5 LI NUN WO 5 5 3 2000 1 + 5 HARO 5 w 31 4 . 2 . > V N N $ 3 WO M . 000 WO SE 21 M 7 O w D + 1 . 73 2 See w will 5 12 1 1 . 11 TU 50 ---- NH re 1 20 w HOW 27 10 M NA A Invata LOG N 2 Ow N + VA Sot sadan N N 1. RO Dwww 1 NA 0 0 00 N N 2011 W 2017 Red www 200 W 2005 Mode Calat 1917 Gender 200 Gold Medinede 5 N N N N N Pere Own w Sport V N N WY 1 11 93 S 5 1 WE ow N NIA 10 DW Driver 1 Sedan Sedan N 06 N N N N N M Dew Det 7 0 W Pensure Own HO 7 TE 0 NA N N Y N N N N N de 2001 Alto Wunde White adequat Sedan DIE 5 3 5 1117 N ME www. 8 N CO N 1 WIN Y N + Ga GA $ Wh Wor Work Own wis own pleasure On w STY wilo 2 1 1 1 2 5 NA NA WA N N N N SUV 0 SE 910 300 LOL 1,7 G M V 5 5 N 4 N SET 0 N 10 1 . 2 SUV wondo rochie Med Toote 200 W om toyota 2000 Med vw 2011 Huntil you Canada Mercedes Lot 2017 White DO 2012 Wells Ford 2005 ich w 2011 White 2015 Tan who 2017 Tan Willow WW N N N N N 24 1 200 12 104 N/A N/A 10 1 Om Insid Se S One Dwy DWww Car D Street Y 4 N N Y 1 M 7 7 100 N N 5 5 N N NA NA N in N N N N wales w ww/les Own WE Dw Mar Wor Own Wor Own Wor Le Coupe Sedan SUV Sedan SUY Van Sedan Sedan SUV Vin SU Van SUV LO 2 1 1 TE 0 TE ot N/A NA 1 A M 111 1 1 3 Street DV Gora Drwy 5 5 $ N N N N N 1 41 45 WN 2 N N Chow 2018 2006 WC 2017 Runde 2015 200 2001 WHILE Min Met Blue Canada Mere 2013 Grand 2000 White Per own e Own BE 11 11 U VE N N 5 9 N ON D 10 N 2 WN wiedy Wor Planet 11 TIN N N N Sport Sodan 2 NI G N 5 InsDate Coding 1 DU 3 1 N N N 7 MER Hinta Wh GO M w N N N 1A 11 MIS 1 DW Wies LE NA N CO wy W 4 Am N N N SO 51 Om WX Dan an use At Mendes Hot urech dole 5 1 w w N 5 1 w N 1 N N N TE 10 1 7 wa + N ih 1 N A N N 10 A w N N N 519 1 10 10 NA NA NA WA 1 N/A W. > + OM 3 N Y O LI 1 N N 0 N N N N N N 300 --------- 0 M Heuren we can WH ww/ 50 4 CHE N N N NIE O 5 LO 10 N Y WA NA N N 141 1 N 35 0 4 9 PE N 361 A N N N 4 N/A NA 16 WA contro 200 SU Canada w 2006 SUV VW tin Van on w the Yew cher BV 2011 wat 2001 Abu ord SU am HY D White won ww 300 Solan Hechy ed 2010 Gold Spon Ayuda chew Bold A ww 3002 Banford 03 co ton Ford SLIV cate Gewind white Alion Chewy Ton N N $ N N N A N DI G 3 0 A N 0 101 1 D w wres D How w W w w Here W Wow w w Plow ww/ rown wa WON Here N A N N N M N LORE 51 1 N SE N 11 19 1 . WA 1 N N 5 THA CH N new 5 13 15 N A N UN DE N 3 N 104 --- insData 4 110 NY w WO WHO yet C 2 14 3 N A > ws WW 30 V w M 1 1 . 3 dot Sot UE N w WO 110 . 2 N. NE . Y 1 N . Sect 23 w NA . . 5 N N YA BU SUV 000 N 2 N 1 Wh W Wis PO 5 1 3 N G DO Can Couce Ver 3 NA 101 . 2 + 13 . N $ V N Web wa 12 . 1 IM NU OLY + 1 > N N Wh 22 1 M 1 20 w w N Ole 16 N w WA 1 Lady V Y M w w NE Ch 5 3 NA wa Ve w N InsData 2001 WO w 1 w w Oy w wi -----------23395 114 1 pes - 110 1 WO N VH 5 20 001 2 w w 1 N 5 03 10 N 1 NA N WN w 1 . E 4 18 N > 1 1 . Love me we N HET SEP M 1 NA N . 1 941 w . NA 08 InData Wet N Sn U WW 0 AL 1 4 no MALE + Gde Dwi w MUA N N D We can 3 NA CE 1 N A w D wet 1.1 w 14 . bum www De the the W Www . We Cande 21 DY W N We un N/A N 1 NE 0 M N N w WOW Y 5 111 DE WA hum N Ford 42 2007 Wie N N SI BE N N w N w w Der WA N 1 WA WA www Wilton Da Our N M > 20 N 1 wir 1 N N 3 Ow WWW WA 2 N 11 NIS 0 Pere w wil Own W N 1 ch + NA N N w N MN G . LI N ON wan HOW 1 BO Center 1 . 1 LE WE 1 Wies W IN video CE re MARIO N De und JUWIE 300 51 HO Ins Data Coding 29 w un M O 1 11 1 2 IR 00W VW 11 WN wa will We w M w NA 1 DY 1 Chow Van Wh N w N N M ty WH 1 M Www MIN N w WW w 1 ws M w 18 N 1 M UN www Chalet w ws N/ N/A WA NA 141 51 M 1 MIV Van VaR N 11 G w w nawi www we an put che shume Wie w 0 WO Ww M 441 N N M 14 N M 9 WA 1 3.00 Me V VE WE w w N 81 w NA N/A M 5,153 Dewch White ww W Merwe N 119 N M D D 3 N Mb Coupe DE DU 23 20 N Y 23 Play Wate 2 w 7000 W 2009 Gold 2019 an 2014 W NA SU OW 2 an D D N N N N Power wo O WN SUV A N 1917 2 . N Low 25 75 tut 27 N N N N 19 27 > We Own A + 1 + WN WN LI 77 + WO 5 30 Y N Y N NA N N N 0 2 12 1 2 NE N 0 0 CE Gas Oy 5 9 TS 3 14 10 N M LO Y 1 WN N 1 W Wort O wrest w On wan Own Www We Own Poste Ww Pour Our WE A N N N N A N 1 . 1 2 tu Oy OW 3 3 5 3 $ V Y N NA 2 15 HO 119 17 A 1 N N A Gaur . N 6 . CHE 16 www on vw IMS Red benevende Dyr LUV Welt 11 W Coupe www 2004 W Coupe Aubin WWF G Coupe 2011 Van Dope Hunde WY 2003 Van Dan with DID TO 2016 W Calil Tan ondeopota V Merlin Do Tan SOV Sport 2013 Ver w Due Dame toda Ali 2010 V an Fond Yol Vin wwe Dole Het Calle Yew Dupew 2015 SU MP 1 Ant N N wie Le 4 N 5 9 3 M H WIT 161 11 1 N 11 N N N M N www N N 19 1 W D We Durt ws/les own ws N N CE 3 N GE N N 1 N $ 71 11 N N N N 06 N 5 N NA NA N/A 2 NIR 10 1 1 NA 10 NIA Wor N Y N N N M N N . 21 4 3 ST ISE 2 1 1 N N 13 N N N N 1 HOT 33-3-3- N N M 11 N 0 0 N WI WIN/P ww HO w w Meest ured N N N N N N w 14 NA DS M M Y Y SE N WA w w InsData W -3-3-3-32 + 41 M 40 1 1 InsDate 12 w N 2 M MW PY w ww w N For w N N 1 21 NA N OW w wew www/ N > G MW w try Med den 19 w WN WN An F N Dri NA SE 1 Den N N N w to chy WN CH wy Game M 6 MI WO M WN Da li N N N N N N WWD w WW Am 4 0 10 Van ? 1 2 1 WOW D N HE M . N ANS ------ One Dhew the AG Meno MVW word X NA NA NA 0 1 W N V D DI N 2010 An w L SIN Var N 1 1 1 W Cand Cheetode N/A N N N N N N 41 LU 1 Den UP A N M M 10 V V AL ww Cotton WIE N 1 Please N N N N Y N MY NA OM DW AM w w M re N AN 4 AN w u Chy. Toyota WE N NIA UP 2006 TI w InsData od whe D * MILE . Torte IV Van 1 Wie w ww/ ww while ht War 18 C che 101 VW V w wi w 2 1 N So White 2 AN w WN UE Auww w M N WE me 4 Cher 1 N WN N N N Star w DOW C WAGON WN 5 w nue N N N 11 N 22.- 232-5-5-35-1 N N w 40 w Cane w N WY VE 1 N TE HOW N chetto We N N w 45 Ver N/ WY Y N . 1 N Mb wy N WN 1 thundeed Nuwak choy Wi N N HORY w N N LS 16 ON WH WN Cape N N Depewe Me Tan La Oy ene 300 W WE wo 1 inData od