Loan Purpose Months Customer Small Appliance 12 Furniture 28 New Car 21
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Use the histogram tool to develop a frequency distribution and histogram for the number of months as a customer of the bank in the data below. Compute the relative and cumulative relative frequencies and use a line chart to construct an ogive.
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- Company Name Revenue Capitalization Avis Budget Group -29 1175.8 United Stationers 109 1381.6 Owens Corning 276 3417.8 Foot Locker 278 3547.6 Alliant Techsystems 313.2 1891.9 Fidelity National Financial 369.5 3461.4 FMC Technologies 399.8 12520.3 Ralph Lauren 567.6 12522.8 Ralph Lauren 567.6 12522.8 Harley-Davidson 599.1 8925.3 Kroger 602 13819.5 Pitney Bowes 617.5 3681.2 Pitney Bowes 617.5 3681.2 Amazon.com 631 81458.6 Rockwell Collins 634 8560.5 Rockwell Automation 697.8 10514.8 Rockwell Automation 697.8 10514.8 AmerisourceBergen 706.6 10087.6 Delta Air Lines 854 7082.1 Cardinal Health 959 14115.2 Medco Health Solutions 1,455.70 21865.9 Costco Wholesale 1,462.00 36461.2 HCA Holdings 2,465.00 9550.2 Lockheed Martin 2,655.00 26651.1 CVS Caremark 3,461.00 53575.7 Kraft Foods 3,527.00 65917.4 Boeing 4,018.00 55188.8 United Technologies 4,979.00 66606.5 UnitedHealth Group 5,142.00 53469.4 Cisco Systems 6,490.00 97376.2…Company Competitor 1383 1153 2022 1067 2429 1296 901 1406 2219 1254 1896 1335 1910 1204 1539 1076 2048 1246 2881 1098 2395 1258 1349 955 2052 954 2675 1363 1588 1022 2704 1155 3148 1807 2822 1295 2217 1116 2260 1323 3040 1326 3137 1107 2977 1163 2599 1254 2412 1017 3187 938 2598 1270 2995 1042 3046 1318 3858 1497 2438 750 3243 1380 2764 1053 2944 932 3324 1097 2797 1193 3914 1271 2766 843 2273 780 3052 1095 3202 1290 3672 937 3957 1390 3274 1056 3788 1235 3502 1235 2942 999 3078 1066 3196 641 3141 1322 3579 1289 3895 1060 above is the excel data, please solve the excel part with formulas and explanation, thanksThe chief loan officer of La Crosse Home Mortgage Company summarized the housing loans extended by the company in 2017 according to type and term of the loan. Her list shows that 60% of the loans were fixed-rate mortgages (F), 30%were adjustable-rate mortgages (A), and 10% belong to some other category (O) (mostly second trust-deed loans and home equity loans). Of the fixed-rate mortgages, 75% were 30-year loans and 25% were 15-year loans; of the adjustable-rate mortgages, 30% were 30-year loans and 70% were 15-year loans; finally, of the other loans extended, 25% were 20-year loans, 60% were 10-year loans, and 15% were for a term of 5 years or less. What is the probability that a home loan extended by La Crosse has an adjustable rate and is for a term of 15 years? What is the probability that a home loan extended by La Crosse is for a term of 15 years?
- NORTH–SOUTH AIRLINE CASENorthern Airline DataAirframe CostEngine CostAverage AgeYearper Aircraftper Aircraft(Hours)200151.8043.496,512200254.9238.588,404200369.7051.4811,077200468.9058.7211,717200563.7245.4713,2752006 84.7350.2615,215200778.7479.6018,390Southeast Airline DataAirframe CostEngine CostAverage AgeYearPer Aircraftper Aircraft(Hours)200113.2918.865,107200225.1531.558,145200332.1840.437,360200431.7822.105,773200525.3419.697,150200632.7832.589,364200735.5638.078,2591. Develop Regression equations for each cost category as dependent variables and average age as independent variables. Do this for each Airline. Look at graphs produced by QM2. From the regression results, what would you conclude about a) airframe vs engine costs for each airlineb) comparing airlines as to airframe costsc) comparing airlines as to engine costsd) Provide a brief summary report of your comparisonsstate abb region population total 1 Alabama AL South 4779736 135 2 Alaska AK West 710231 19 3 Arizona AZ West 6392017 232 4 Arkansas AR South 2915918 93 5 California CA West 37253956 1257 6 Colorado CO West 5029196 65 7 Connecticut CT Northeast 3574097 97 8 Delaware DE South 897934 38 9 District of Columbia DC South 601723 99 10 Florida FL South 19687653 669 11 Georgia GA South 9920000 376 12 Hawaii HI West 1360301 7 13 Idaho ID West 1567582 12 14 Illinois IL North Central 12830632 364 15 Indiana IN North Central 6483802 142 16 Iowa IA North Central 3046355 21 17…state abb region population total 1 Alabama AL South 4779736 135 2 Alaska AK West 710231 19 3 Arizona AZ West 6392017 232 4 Arkansas AR South 2915918 93 5 California CA West 37253956 1257 6 Colorado CO West 5029196 65 7 Connecticut CT Northeast 3574097 97 8 Delaware DE South 897934 38 9 District of Columbia DC South 601723 99 10 Florida FL South 19687653 669 11 Georgia GA South 9920000 376 12 Hawaii HI West 1360301 7 13 Idaho ID West 1567582 12 14 Illinois IL North Central 12830632 364 15 Indiana IN North Central 6483802 142 16 Iowa IA North Central 3046355 21 17…
- U.S. Manufactured General Aviation Shipments, 2009–2015 Year Qtr 1 Qtr 2 Qtr 3 Qtr 4 Total 2009 310 408 390 477 1,585 2010 243 377 281 433 1,334 2011 268 289 286 480 1,323 2012 305 358 339 514 1,516 2013 329 413 353 520 1,615 2014 345 380 379 527 1,631 2015 296 374 378 544 1,592 Use MegaStat or Minitab to calculate estimated seasonal indexes and trend. Q1. Q2. Q3. Q4 In which quarters are shipments highest? Lowest?sellprice listprice LIVINGAREA ROOMS BEDRMS BATHRMS AGE ACRES TAXES 710.00 800 28 10 5 3 60 0.28 3167 875.00 900 18 8 4 1 12 0.43 4033 645.00 660 13 6 3 1 41 0.33 1471 690.00 700 17 7 3 1 22 0.46 3204 1160.00 1200 25 8 4 3 5 2.05 3613 675.00 700 18 7 4 3 9 0.57 3028 750.00 800 20 8 4 3 18 4.00 3131 1035.00 1125 22 8 4 2 16 2.22 5158 1355.00 1425 30 10 5 2 30 0.53 5702 445.00 450 10 5 3 1 43 0.30 2054 765.00 785 22 8 3 3 18 0.38 4127 432.50 450 16 7 3 1 50 0.65 1445 1170.00 1190 25 8 4 2 2 1.61 2087 527.50 580 20 8 4 1 13 0.22 2818 875.00 900 22 8 4 2 15 2.06 3917 825.00 850 17 8 4 2 33 0.46 2220 830.00 850 23 9 4 2 37 0.27 3498 680.00 700 19 7 3 1 22 0.63 3607 740.00 800 17 7 3 2 13 0.36 3648 755.00 765 19 8 4 2 24 0.34 3561 900.00 950 24 9 4 2 10 1.55 4681 1465.00 1525 26 8 4 3 6 0.46 7088 835.00 850 20 9 4 2 46 0.46 3482 950.00 965 22 9 5 2 37 0.48 3920 920.00 950 21 9 5 2 27 1.30 4162 785.00 825 20 8 4 2 7 0.30 3785 550.00 575 16…sellprice listprice LIVINGAREA ROOMS BEDRMS BATHRMS AGE ACRES TAXES 710.00 800 28 10 5 3 60 0.28 3167 875.00 900 18 8 4 1 12 0.43 4033 645.00 660 13 6 3 1 41 0.33 1471 690.00 700 17 7 3 1 22 0.46 3204 1160.00 1200 25 8 4 3 5 2.05 3613 675.00 700 18 7 4 3 9 0.57 3028 750.00 800 20 8 4 3 18 4.00 3131 1035.00 1125 22 8 4 2 16 2.22 5158 1355.00 1425 30 10 5 2 30 0.53 5702 445.00 450 10 5 3 1 43 0.30 2054 765.00 785 22 8 3 3 18 0.38 4127 432.50 450 16 7 3 1 50 0.65 1445 1170.00 1190 25 8 4 2 2 1.61 2087 527.50 580 20 8 4 1 13 0.22 2818 875.00 900 22 8 4 2 15 2.06 3917 825.00 850 17 8 4 2 33 0.46 2220 830.00 850 23 9 4 2 37 0.27 3498 680.00 700 19 7 3 1 22 0.63 3607 740.00 800 17 7 3 2 13 0.36 3648 755.00 765 19 8 4 2 24 0.34 3561 900.00 950 24 9 4 2 10 1.55 4681 1465.00 1525 26 8 4 3 6 0.46 7088 835.00 850 20 9 4 2 46 0.46 3482 950.00 965 22 9 5 2 37 0.48 3920 920.00 950 21 9 5 2 27 1.30 4162 785.00 825 20 8 4 2 7 0.30 3785 550.00 575 16…
- 4. The following contingency table represents motor vehicle use in North America by country and vehicle type in 2016. Country Vehicle Type United States C1 Canada C2 Mexico C3 Total Automobiles V1 112,961 22,410 11,239 146,610 Buses V2 976 91 303 1,370 Motorcycles V3 8,680 716 2,053 11,449 Trucks V4 146,182 1,053 6,201 153,436 Total 268,799 24,270 19,796 312,865 g. Create a Joint Probability Table: ALL PROBABILITIES to 4 decimal places. Country Vehicle Type United States C1 Canada C2 Mexico C3 Total Automobiles V1 Buses V2 Motorcycles V3 Trucks V4 Total h. In words, what is event C1? i. In words, what is event V4? j. In words, what is event C1 ∩∩ V4 ? k. Find P(C1) l. Find P(V4) m. Find P(C1 ∩∩ V4) n. Find P(C1 ∪∪ V4) o. Find P(C1|V4) p. Find P(V4|C1)4. The following contingency table represents motor vehicle use in North America by country and vehicle type in 2016. Country Vehicle Type United States C1 Canada C2 Mexico C3 Total Automobiles V1 112,961 22,410 11,239 146,610 Buses V2 976 91 303 1,370 Motorcycles V3 8,680 716 2,053 11,449 Trucks V4 146,182 1,053 6,201 153,436 Total 268,799 24,270 19,796 312,865 a. How many vehicles are in Canada? b. How many vehicles are motorcycles? c. How many vehicles are Canadian motorcycles? d. How many vehicles are either Canadian OR motorcycles? e. How many automobiles are Mexican? f. How many vehicles are NOT automobiles? g. Create a Joint Probability Table: ALL PROBABILITIES to 4 decimal places. Country Vehicle Type United States C1 Canada C2 Mexico C3 Total Automobiles V1 Buses V2 Motorcycles V3 Trucks V4 Total h. In words, what is event C1? i. In words, what is event V4? j. In words, what is…A company that sells digital devices has its stores in several cities in Albania. The Marketing Manager plans to transmite an advertisement for the digital camera product on local television and watch sales of that product, to see the link that exists with the number of ads transmitted and product sales. After two days, the results were presented in the following table: City Trasmitted Sales(in 000 Euro) Durrës 4 15 Sarandë 2 8 Fier 5 21 Berat 6 24 Lezhë 3 17 S S = 1.58 S = 6.1 a) What is the dependent variable?b) Construct the scatterdiagram of this connection.c) Calculate the coefficient of variation and the coefficient of determination.d) Interpret the relationship between two variables.e) What is the equation that connects these two variables? Explain the values for a and b.f) What is the expected level of sales if 10 ads are trasmitted
