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5-Find the sample coefficient of deterination (R-Sqaure) and explain its meaning. 6- Find the sample correlation coefficient (R) and comment on the nature of the relationship between the Tesla Stock Prices and Nasdaq 100 Index. 7- Find the Trend line (Regression line). Identify each part and discuss each part in the context of this problem. 8. Based on your model, If the Nasdaq 100 index = 8000, what would be your predicted value for the Tesla Stock Price? Date. Nasdaq 100 Index = XTesla Stock Prices = Y 7/1/2010 2254.699951 19.940 8/1/2010 2114.030029 19.480 9/1/2010 2368.620117 20.410 10/1/2010 2507.409912 21.840 11/1/2010 2498.22998 35.330 12/1/2010 2652.870117 26.630 1/1/2011 2700.080078 24.100 2/1/2011 2782.27002 23.890 3/1/2011 2781.070068 27.750 4/1/2011 2873.540039 27.600 5/1/2011 2835.300049 30.140 6/1/2011 2773.52002 29.130 7/1/2011 2756.379883 28.170 8/1/2011 2579.459961 24.740 9/1/2011 2415.399902 24.390 10/1/2011 2684.409912 29.370 11/1/2011 2620.340088 32.740 12/1/2011 2605.149902 28.560 1/1/2012 2813.840088 29.070 2/1/2012 2966.889893 33.410 3/1/2012 3091.570068 37.240 4/1/2012 3046.360107 33.130 5/1/2012 2827.340088 29.500 6/1/2012 2935.050049 31.290 7/1/2012 2939.52002 27.420 8/1/2012 3066.959961 28.520 9/1/2012 3116.22998 29.280 10/1/2012 2977.22998 28.130 11/1/2012. 3010.23999 33.820 12/1/2012 3019.51001 33.870 1/1/2013 3142.129883 37.510 2/1/2013 3160.189941 34.830 3/1/2013 3267.52002 37.890 4/1/2013 3328.790039 53.990 5/1/2013 3455.909912 97.760 b 6/1/2013. 3403.25 107.360 7/1/2013 3626.370117 134.280 8/1/2013 3589.870117 169.000 9/1/2013. 3771.47998 193.370 10/1/2013 3919.709961 159.940 11/1/2013 4059.889893 127.280 12/1/2013 4176.589844 150.430 1/1/2014 4103.879883 181.410 2/1/2014 4308.120117 244.810 3/1/2014 4198.990234 208.450 4/1/2014 4114.560059. 207.890 5/1/2014 4242.620117 207.770 6/1/2014 4408.180176 240.060 7/1/2014 4369.77002 223.300 8/1/2014. 4580.27002 269.700 9/1/2014 4493.390137 242.680 10/1/2014 4630.740234 241.700 11/1/2014 4791.629883 244.520 12/1/2014 4736.049805 222.410 1/1/2015 4635.240234 203.600 2/1/2015 4963.529785 203.340 3/1/2015. 4900.879883 188.770 4/1/2015 4941.419922 226.050 5/1/2015 5070.029785 250.800 6/1/2015 4986.870117. 268.260 7/1/2015 5128.279785 266.150 8/1/2015 4812.709961 249.060 9/1/2015 4620.160156. 248.400 10/1/2015 5053.75. 206.930 11/1/2015. 5108.669922 230.260 12/1/2015. 5007.410156 240.010 1/1/2016 4613.950195 191.200 2/1/2016 4557.950195 191.930 3/1/2016 4869.850098. 229.770 4/1/2016 4775.359863. 240.760 5/1/2016 4948.049805 223.230 6/1/2016 4842.669922. 212.280 7/1/2016. 5162.129883 234.790 8/1/2016. 5213.220215. 212.010 9/1/2016. 5312 204.030 10/1/2016 5189.140137. 197.730 11/1/2016 5323.680176 189.400 12/1/2016. 5444.5 213.690 1/1/2017 5614.790039 251.930 2/1/2017 5825.439941 249.990 3/1/2017 5911.740234 278.300 4/1/2017 6047.609863 314.070 5/1/2017 6198.52002 341.010 6/1/2017 6140.419922. 361.610 7/1/2017 6348.120117 323.470 8/1/2017 6428.660156 355.900 9/1/2017 6495.95.

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5/1/2013 3455.909912 97.760 b
6/1/2013. 3403.25 107.360
7/1/2013 3626.370117 134.280
8/1/2013 3589.870117 169.000
9/1/2013. 3771.47998 193.370
10/1/2013 3919.709961 159.940
11/1/2013 4059.889893 127.280
12/1/2013 4176.589844 150.430
1/1/2014 4103.879883 181.410
2/1/2014 4308.120117 244.810
3/1/2014 4198.990234 208.450
4/1/2014 4114.560059. 207.890
5/1/2014 4242.620117 207.770
6/1/2014 4408.180176 240.060
7/1/2014 4369.77002 223.300
8/1/2014. 4580.27002 269.700
9/1/2014 4493.390137 242.680
10/1/2014 4630.740234 241.700
11/1/2014 4791.629883 244.520
12/1/2014 4736.049805 222.410
1/1/2015 4635.240234 203.600
2/1/2015 4963.529785 203.340
3/1/2015. 4900.879883 188.770
4/1/2015 4941.419922 226.050
5/1/2015 5070.029785 250.800
6/1/2015 4986.870117. 268.260
7/1/2015 5128.279785 266.150
8/1/2015 4812.709961 249.060
9/1/2015 4620.160156. 248.400
10/1/2015 5053.75. 206.930
11/1/2015. 5108.669922 230.260
12/1/2015. 5007.410156 240.010
1/1/2016 4613.950195 191.200
2/1/2016 4557.950195 191.930
3/1/2016 4869.850098. 229.770
4/1/2016 4775.359863. 240.760
5/1/2016 4948.049805 223.230
6/1/2016 4842.669922. 212.280
7/1/2016. 5162.129883 234.790
8/1/2016. 5213.220215. 212.010
9/1/2016. 5312 204.030
10/1/2016 5189.140137. 197.730

11/1/2016 5323.680176 189.400
12/1/2016. 5444.5 213.690
1/1/2017 5614.790039 251.930
2/1/2017 5825.439941 249.990
3/1/2017 5911.740234 278.300
4/1/2017 6047.609863 314.070
5/1/2017 6198.52002 341.010
6/1/2017 6140.419922. 361.610
7/1/2017 6348.120117 323.470
8/1/2017 6428.660156 355.900
9/1/2017 6495.959961. 341.100
10/1/2017 6727.669922 331.530
11/1/2017 6873.970215 308.850
12/1/2017. 6903.390137. 311.350
1/1/2018 7411.47998 354.310
2/1/2018 7273.009766 343.060
3/1/2018 7063.450195 266.130
4/1/2018 7066.27002 293.900
5/1/2018 7442.120117 284.730
6/1/2018. 7510.299805 342.950
7/1/2018 7671.790039 298.140
8/1/2018 8109.540039. 301.660
9/1/2018 8046.350098 264.770
10/1/2018. 7305.899902 337.320
11/1/2018 7330.540039 350.480
12/1/2018 6635.279785 332.800
1/1/2019 7281.740234 307.020
2/1/2019. 7532.529785 319.880
3/1/2019 7729.319824 279.860
4/1/2019 8095.390137 238.690
5/1/2019 7453.149902 185.160
6/1/2019 8006.240234. 223.460
7/1/2019 8175.419922 241.610
8/1/2019 7962.879883 225.610
9/1/2019 7999.339844. 240.870
10/1/2019. 8292.360352 314.920
11/1/2019 8665.469727 329.940
12/1/2019. 8972.599609 418.330
1/1/2020 9150.94043. 650.570

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Short explanations would be helpful :) One of the most difficult parts of constructing an accurate model for planetary motions is that planets seem to wander among the stars. During their normal (or prograde) motion, planets appear to move from west to east over many consecutive nights as seen against the background stars. However, they occasionally (and predictably) appear to reverse direction and move east to west over consecutive nights as seen against the background stars. This backward motion is called retrograde motion. Shown below are the positions of a mystery planet against distant background stars over the course of numerous consecutive nights.Use the figure from Question 1 to answer the following question. When the planet was farthest to the west, what was the azimuth value of the planet? begin{tabular}{l} 175 180 120 170 150 hline 240 hline 140 hline 210 end{tabular}Use the figure from Question 1 to answer the following question. On what date was the mystery planet located farthest to the east? July 15 May 1 July 1 June 1 May 15 August 1 August 15 June 15Use the figure from Question 1 to answer the following question. When the planet was farthest to the east, what was the azimuth value of the planet? begin{tabular}{l} 190 hline 210 150 240 hline 140 hline 180 hline 170 hline 120 end{tabular}When a planet exhibits prograde motion, in what direction does it appear to move across the sky with respect to background stars after at least a couple of consecutive nights? The planet is not visible. The planet moves from west to east. The planet moves from east to west.Use the figure from Question 1 to answer the following question. During which dates does the mystery planet appear to move with normal, prograde motion as compared to the background stars? Between June 15 and July 15 only Between May 1 and June 15, and between July 15 and August 15 Between May 1 and June 15 only Between July 15 and August 15 only Between June 15 and July 15, and between August 1 and August 15When a planet exhibits retrograde motion, in what direction does it appear to move across the sky with respect to background stars after at least a couple of consecutive nights? The planet moves from west to east. The planet moves from east to west. The planet is not visible. The planet doesn't move at all.Use the figure from Question 1 to answer the following question. During which dates does the mystery planet appear to move with backward, retrograde motion as compared to the background stars? Between July 15 and August 15 only Between May 1 and June 15 only Between June 15 and July 15, and between August 1 and August 15 Between May 1 and June 15, and between July 15 and August 15 Between June 15 and July 15 only.

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Suppose the net tax function (T) is below: T=t0+t1Y(0<t1<1) Please follow the approach (i.e. plot a diagram and use mathematics) shown in PPT for goods market (slide 21-slide 24) to discuss the adjustment process of supply and demand in goods market after the government increases its expenditure by $1 million (e.g. the first round adjustment, the second round adjustment, ...). Please calculate total output change and government spending multiplier. Is this government spending multiplier larger or smaller than government spending multiplier when T is a lump sum tax? Please explain your finding in economics (20 marks).

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Estudio de caso de Panera Bread Arturo A. Thompson la universidad de alabama En la primavera de 2014, Panera Bread era ampliamente considerado como el lder indiscutible del segmento "casual rpido" de la industria de los restaurantes: los restaurantes informales rpidos se consideraban superiores a los restaurantes tradicionales de servicio rpido como McDonald's debido a la mejor calidad de la comida, servicio de mesa limitado y, en muchos casos, selecciones de men a menudo ms amplias y exclusivas. En promedio, cerca de 8 millones de clientes frecuentaban los restaurantes Panera Bread cada semana, y Panera horneaba ms panes especiales diariamente que cualquier otra empresa de cafeteras y panaderas en Amrica del Norte. Haba 1.777 panaderas-cafs propiedad de la empresa y franquiciadas en funcionamiento en 45 estados, el Distrito de Columbia y Ontario, Canad, bajo los nombres de Panera Bread, Saint Louis Bread Co. y Paradise Bakery & Caf. En 2013, la empresa obtuvo ingresos corporativos de $2400 millones, ingresos por tienda en todo el sistema de $4300 millones y ventas promedio de casi $2,500 millones por ubicacin de tienda. El nmero de ubicaciones de Panera Bread aument de 1027 unidades en 36 estados a fines de 2006, pero muy por debajo del ambicioso objetivo que la compaa estableci en 2006 de tener 2000 puntos de venta en funcionamiento para fines de 2010. Mientras que la Gran Recesin de 2008 2009 haba obligado a la gerencia a reducir los planes de expansin de Panera, la compaa decidi restablecer su estrategia de rpido crecimiento al abrir una red de 76 nuevas unidades operadas por la compaa y franquiciadas en 2010, 88 nuevas unidades en 2011, 111 nuevas unidades en 2012, y 125 unidades en 2013. Los planes requeran la apertura de 115 a 125 nuevas unidades operadas por la empresa y franquiciadas en 2014. Pero a pesar de la reciente aceleracin de la apertura de tiendas, hubo seales en 2014 de que el crecimiento de los ingresos de la empresa en 2014 no coincidira con el slido 19,9 porcentaje de crecimiento promedio compuesto logrado desde 2009 hasta fines de 2013. En febrero de 2014, la alta direccin indic que esperaba aumentos en las ventas de 2014 de solo 2 a 4 por ciento en Panera Bakery- Cafs abiertos al menos un ao, por debajo del porcentaje ge ganancias en cada uno de los ltimos tres aos. Adems, se proyect que las ganancias diluidas por accin en 2014 aumentaran solo del 5 al 8 por ciento, muy por debajo de la tasa de crecimiento de EPS a largo plazo objetivo de la compaa de 15 a 20 por ciento anual. ANTECEDENTES DE LA COMPAA En 1981, Louis Kane y Ron Shaich fundaron una empresa de panadera y caf llamada Au Bon Pain Co., Inc. Se abrieron unidades en centros comerciales, centros comerciales y aeropuertos a lo largo de la costa este de los Estados Unidos e internacionalmente durante las dcadas de 1980 y 1990. ; la empresa prosper y se convirti en el operador dominante dentro de la categora de panadera-caf. En 1993, Au Bon Pain Co. compr Saint L.

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GASE SCENARIO Colene Fletcher is excited. Her excitement stems from the fact that she has been assigned her biggest project to date since being hired as a financial analyst by Pierpoint Investments, Inc. in Dallas, Texas. Colene was recently assigned the task of analyzing a proposal to remodel one of Pierpoint's properties, Gulfside Seafood Restaurant in Corpus Christi, Texas (Gulfside). In keeping with Pierpoint's policy of renovating/updating its restaurant properties every 4-6 years, Scott Busby, manager of Gulfside, has spent $8,500 researching different remodeling scenarios and has finally settled on a scheme to upgrade the restaurant. Specifically, he proposes 1) replacing all of the tables and chairs, 2) adding computerized food-ordering stations, and 3) adding several aquariums stockid with Gulf sea life throughout the restaurant. Scott expects the project will increase customer patronage as well as facilitate service and improve operating efficiency by enhancing the traffic flow of wait staff among the tables, food-ordering stations, and kitchen. While Colene thinks Scott is an excellent manager, she also knows that he tends to be a bit overzealous when it comes to spending money to improve Gulfside's potential. For example, last year Scott proposed adding a drive-through window operation at a cost of $250,000, only to find out that restaurant patrons dining at Gulfside do so primarily because of its outside dining and lounge facilities which would have been eliminated with the drive-through renovation. Fortunately, Pierpoint's management retained a marketing firm at a fraction of the proposed cost of the drive- through, which found, much to Scott's chagrin, that the drive-through idea was "all wet." In any event, Colene has assembled case information about the proposed upgrade, including financial information regarding Gulfside's current and expected operations with the proposed upgrade, and has two weeks to recommend a decision on the proposal to Pierpoint's management. Existing tables and chairs were purchased four years ago at a total cost of $65,000 with a MACRS class life of five years and an estimated economic life (at the time of purchase) of nine years, at the end of which they are estimated to have zero salvage value. However, Gulfside's management estimates that it could sell the existing tables and chairs today for $9,000. New tables and chairs will cost $60,000 with $3,000 in installation (delivery) expenses. Computerized food-ordering stations will cost $80,000 with total installation expenses of $15,000. The aquariums (cylindrical in shape and positioned at several places throughout the restaurant to be observable from most of the tables) and sea life will cost Summer 2005 93 This content downloaded from 130.239.129.10t on Fri, 03 Mar 2023 11:28:35 UTC All use pubject to https '/ about istor orgherms3205,000 with delivery and intallation expenset of 512.000 . All of the new efuigment (tables, chairs, compaterined food-.

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Cul es la diferencia entre una letra de cambio y un conoci.pdf

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Disney'in EuroDisney'deki sorunlarnn kk urada bulunabilir: Japonya'nn Disneyland'nn muazzam baars. Tokyo Park ilk gnden itibaren baarl oldu ve milyonlarca kii tarafndan ziyaret edildi. nihai olarak algladklar eyi yakalamak isteyen Japonlarn dostum ABD elence deneyimi. Disney tm ABD tema parkn ald ve Japonya. Japonlarn Disney'e olan ball nedeniyle ie yarad. karakterler. Okullarn Mickey ve arkadalaryla tanmak iin saha gezileri vardr. Disney deneyiminin yerletii noktaya kadar Japon hayat. Kitapta Kutsal Toprak olarak Disneyland, niversite Tokyo profesr Masako Notoji unlar yazd: Tokyo'nun al Geriye dnp bakldnda Disneyland, Japonya'daki en byk kltrel etkinlikti. 80'lerde. Byle bir baaryla, alacak bir ey var m? Disney, ilk gittiklerinde doru modele sahip olduklarn dndler. Fransa? Tokyo Disney, ok ender bir durum tekil eder, nk Aldndan bu yana ziyareti says azalmad. 2005flas Bekliyor 2005'in balarnda, Disneyland Paris iflasn eiindeydi. En yeni park cazibe merkezi Disneyland Paris'te, Walt Disney Studies, Hollywood- "Armagedonzel" adl bir gezinti gibi temal etkinlikler Bruce Willis'in oynad bir filmden uyarlanan Effects baarsz oldu. Misafirler giri fiyatn hakl karacak cazibe merkezlerinin olmadn syledi ve dier- ers, bunun Amerikan yerine ok fazla odaklandndan ikayet etti. Avrupa, film yapm. Disney baka faktrleri suluyor: 11 Eyll sonras turizmdeki d, Fransa'daki grevler ve 2003'te bir yaz sca dalgas. Fransz hkmeti, Disneyland Paris'in yardmna kotu. kurtarmak iin yaklak 500 milyon dolarlk devlet bankas katks iflastan irket. Eski bir Burger King yneticisi olan yeni bir Disneyland Paris CEO'su, Paris parkn geri getirme umuduyla birka deiiklik yapt iflasn eiinden. Disneyland Paris'i daha ucuz hale getirmek iin tatil yeri, CEO amak iin hkmete kulis yapt Charles de Gaulle havaalann daha dk maliyetli havayollarna tayn. onun altnda Disneyland Paris, ilk zgn karakteri Tai-'yi yaratt. Avrupal izleyiciler iin sevilen: Cadlar Bayram temal L'Homme Citrouille veya Kabak Adam. O da bir gnlk tantt ziyaretilere iki ayr park yerine her iki parka da eriim salayan gei biletler. Terr Kulesi de dahil olmak zere yeni geziler planlyor. ve dier yeni ilgi ekici yerler. Bu deiiklikler milyonlar getirmezse yeni ziyaretilerin says, Disney ve Fransz hkmeti bir zamanlar yine dramatik nlemler almak zorunda kalacak. Fransa Cumhurbakan Jacques Chirac salgn arasa da Amerikan kltrnn bir ekolojik felaketi ve Fransz hkmeti ernment, etkiyi dengelemek iin Fransz olmayan filmlere kotalar uyguluyor. Hollywood'un ence ve resmi olarak ngilizce kullanmn caydryor e-posta gibi kelimeler Disneyland Paris iin nemliydi. Fransz ekonomisi. Fransa'daki yzde 10'luk isizliin nda Zamannda, Disneyland Paris bir i yaratma baars olarak grlyor. bu irket tahmini 43.000 i ve parklarndan sorumluydu ylda 12 milyondan fazla ziyareti ekti, bu Louvre'dan daha fazla Mze ve Eyfel Kulesi bir arada. 2008 Disneyland'a kadar Paris, parka katlmda artlar yayordu ve dn- etrafnda alyor gibi grnyordu. DISNEY'NN N'E BYK SATII Di.

Disneyin EuroDisneydeki sorunlarnn kk urada bulunabilir.pdf

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A. Which of the sedimentary rock specimens are well sorted clastic sedimentary rocks and were likely deposited by slow moving water or wind? (Choose all that apply) 1.Limestone 2. Rock Salt 3. Arkose 4. Coquina 5. Rock Calcite 6. Shale 7. Coal 8. Sandston 9. Rock Gypsum 10. Breccia 11. Conglomerate 12. Chert B. Which of the sedimentary specimens are poorly sorted clastic sedimentary rocks and were likely deposited by glaciers or fast-moving water? (Choose all that apply) 1.Limestone 2. Rock Salt 3. Arkose 4. Coquina 5. Rock Calcite 6. Shale 7. Coal 8. Sandston 9. Rock Gypsum 10. Breccia 11. Conglomerate 12. Chert C. Which of the biochemical sedimentary specimens are composed mostly of calcium carbonate from the exoskeletons/shells of organisms? (choose all that apply) 1.Limestone 2. Rock Salt 3. Arkose 4. Coquina 5. Rock Calcite 6. Shale 7. Coal 8. Sandston 9. Rock Gypsum 10. Breccia 11. Conglomerate 12. Chert D. which of the biochemical sedimentary rock specimen is composed of organic matter (carbohydrates from living matter)? (choose all that apply) 1.Limestone 2. Rock Salt 3. Arkose 4. Coquina 5. Rock Calcite 6. Shale 7. Coal 8. Sandston 9. Rock Gypsum 10. Breccia 11. Conglomerate 12. Chert.

A Which of the sedimentary rock specimens are well sorted c.pdf

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3) The intermediates A,B,C,D,E, and F all occur in the same biochemical pathway. G is the product of the pathway, and mutants 1 through 7 are all G-, meaning that they cannot produce substance G. The following table shows which intermediates will promote growth in each of the mutants. Arrange the intermediates in order of their occurrence in the pathway and indicate the step in the pathway at which each mutant strain is blocked. A "+" in the table indicates that the strain will grow if given that substance, an " 0 " means no growth..

3 The intermediates ABCDE and F all occur in the same .pdf

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2. Edward, CFA, heads the settlement department of a fund management company. His wife, Fiona, works for an investment bank. Edward accidentally overhears an acquisition deal that Fiona is working on. The deal is soon to be closed and announced publicly. Edward checks subsequently neither the stock of the target company nor its call option falls in the restricted list of his employer. To maximize the upside, he buys the call option but he loses money on it because it coincides with the market plunge due to rising interest rate. A) Please discussion the following: - Which CFA Standard of Professional Conduct does the case relate to? [ 3 marks] B) Explain whether each of I, II, III & IV below is correct or incorrect separately with respect to the relevant Standard. State the key points of the case that relate to the relevant Standard in your own words. Edward's purchase of the call option is: I. acceptable because he is just working in the settlement department, but not the investment department, of the fund management company. [4 marks] II. acceptable because he is not making money on the trade. [1 mark] III. acceptable because he is only buying the call option of the target stock, not the stock itself. [1 mark] IV. unacceptable. [1 mark].

2 Edward CFA heads the settlement department of a fund ma.pdf

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3 The intermediates ABCDE and F all occur in the same .pdf

2 Edward CFA heads the settlement department of a fund ma.pdf

5Find the sample coefficient of deterination RSqaure and.pdf

1. 5-Find the sample coefficient of deterination (R-Sqaure) and explain its meaning. 6- Find the sample correlation coefficient (R) and comment on the nature of the relationship between the Tesla Stock Prices and Nasdaq 100 Index. 7- Find the Trend line (Regression line). Identify each part and discuss each part in the context of this problem. 8. Based on your model, If the Nasdaq 100 index = 8000, what would be your predicted value for the Tesla Stock Price? Date. Nasdaq 100 Index = XTesla Stock Prices = Y 7/1/2010 2254.699951 19.940 8/1/2010 2114.030029 19.480 9/1/2010 2368.620117 20.410 10/1/2010 2507.409912 21.840 11/1/2010 2498.22998 35.330 12/1/2010 2652.870117 26.630 1/1/2011 2700.080078 24.100 2/1/2011 2782.27002 23.890 3/1/2011 2781.070068 27.750 4/1/2011 2873.540039 27.600 5/1/2011 2835.300049 30.140 6/1/2011 2773.52002 29.130 7/1/2011 2756.379883 28.170 8/1/2011 2579.459961 24.740 9/1/2011 2415.399902 24.390 10/1/2011 2684.409912 29.370 11/1/2011 2620.340088 32.740 12/1/2011 2605.149902 28.560 1/1/2012 2813.840088 29.070 2/1/2012 2966.889893 33.410 3/1/2012 3091.570068 37.240 4/1/2012 3046.360107 33.130 5/1/2012 2827.340088 29.500 6/1/2012 2935.050049 31.290 7/1/2012 2939.52002 27.420 8/1/2012 3066.959961 28.520 9/1/2012 3116.22998 29.280 10/1/2012 2977.22998 28.130 11/1/2012. 3010.23999 33.820 12/1/2012 3019.51001 33.870 1/1/2013 3142.129883 37.510 2/1/2013 3160.189941 34.830 3/1/2013 3267.52002 37.890 4/1/2013 3328.790039 53.990

2. 5/1/2013 3455.909912 97.760 b 6/1/2013. 3403.25 107.360 7/1/2013 3626.370117 134.280 8/1/2013 3589.870117 169.000 9/1/2013. 3771.47998 193.370 10/1/2013 3919.709961 159.940 11/1/2013 4059.889893 127.280 12/1/2013 4176.589844 150.430 1/1/2014 4103.879883 181.410 2/1/2014 4308.120117 244.810 3/1/2014 4198.990234 208.450 4/1/2014 4114.560059. 207.890 5/1/2014 4242.620117 207.770 6/1/2014 4408.180176 240.060 7/1/2014 4369.77002 223.300 8/1/2014. 4580.27002 269.700 9/1/2014 4493.390137 242.680 10/1/2014 4630.740234 241.700 11/1/2014 4791.629883 244.520 12/1/2014 4736.049805 222.410 1/1/2015 4635.240234 203.600 2/1/2015 4963.529785 203.340 3/1/2015. 4900.879883 188.770 4/1/2015 4941.419922 226.050 5/1/2015 5070.029785 250.800 6/1/2015 4986.870117. 268.260 7/1/2015 5128.279785 266.150 8/1/2015 4812.709961 249.060 9/1/2015 4620.160156. 248.400 10/1/2015 5053.75. 206.930 11/1/2015. 5108.669922 230.260 12/1/2015. 5007.410156 240.010 1/1/2016 4613.950195 191.200 2/1/2016 4557.950195 191.930 3/1/2016 4869.850098. 229.770 4/1/2016 4775.359863. 240.760 5/1/2016 4948.049805 223.230 6/1/2016 4842.669922. 212.280 7/1/2016. 5162.129883 234.790 8/1/2016. 5213.220215. 212.010 9/1/2016. 5312 204.030 10/1/2016 5189.140137. 197.730

3. 11/1/2016 5323.680176 189.400 12/1/2016. 5444.5 213.690 1/1/2017 5614.790039 251.930 2/1/2017 5825.439941 249.990 3/1/2017 5911.740234 278.300 4/1/2017 6047.609863 314.070 5/1/2017 6198.52002 341.010 6/1/2017 6140.419922. 361.610 7/1/2017 6348.120117 323.470 8/1/2017 6428.660156 355.900 9/1/2017 6495.959961. 341.100 10/1/2017 6727.669922 331.530 11/1/2017 6873.970215 308.850 12/1/2017. 6903.390137. 311.350 1/1/2018 7411.47998 354.310 2/1/2018 7273.009766 343.060 3/1/2018 7063.450195 266.130 4/1/2018 7066.27002 293.900 5/1/2018 7442.120117 284.730 6/1/2018. 7510.299805 342.950 7/1/2018 7671.790039 298.140 8/1/2018 8109.540039. 301.660 9/1/2018 8046.350098 264.770 10/1/2018. 7305.899902 337.320 11/1/2018 7330.540039 350.480 12/1/2018 6635.279785 332.800 1/1/2019 7281.740234 307.020 2/1/2019. 7532.529785 319.880 3/1/2019 7729.319824 279.860 4/1/2019 8095.390137 238.690 5/1/2019 7453.149902 185.160 6/1/2019 8006.240234. 223.460 7/1/2019 8175.419922 241.610 8/1/2019 7962.879883 225.610 9/1/2019 7999.339844. 240.870 10/1/2019. 8292.360352 314.920 11/1/2019 8665.469727 329.940 12/1/2019. 8972.599609 418.330 1/1/2020 9150.94043. 650.570

5Find the sample coefficient of deterination RSqaure and.pdf

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