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Trend Impact - Amazon Rainforest Fires

Amazon Rainforest Fires Amazon Rainforest trended 1 week 18 - 24 August and a total of 5 Mn search volume was generated in this duration.  The Full Story: Amazon & Brazil-  Amazon spans approximately 6.7 Mn sq. km. (Twice the size of India).  It is shared by 8 countries and approx. 60%  basin is located in Brazil.  Reasons for Amazon Fires-           In Bolsonaro's first year as President, Brazilian rainforests fared the highest loss in the decade.  2019 Forest Fires-          About 76,000 fires were burning across the Brazilian Amazon at August 2019 count , an increase of  over   80% up form the same period last year.        Scientists found that most of the fires burning today was match up with the spots were trees were cut earlier this year.       The Scale of area cleared in...
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What Boeing's fall from the industry leader teaches us about Business Strategy

Boeing 737 Max has been grounded since March, after two crashes killed 346 people.  The Max is Boeing’s most important plane, with about 5,000 ordered by airlines around the world. The FAA Re-certification flight to return the Boeing 737 MAX back to skies is  approaching soon.  In a survey 52% of fliers said they would prefer  the other aircraft type if given a choice between MAX or another Aircraft type. The Story: Chapter 1 : The Origin       1) Airbus announced an update on their most popular model Airbus A320 in 2010 (15% fuel efficient with larger engine).      2)   In a race to launch a better plane faster,  Boeing resorted to upgrade its model 737 as opposed to developing a new aircraft from scratch (a decade).      Chapter 2: Race for Survival    3) As Boeing 737 was lower to the ground compared to A320 Neo, there wasn't enough room under the wings to fi...
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What affects hotel prices in India and USA?

What affects hotel prices in India and USA? We analyzed the prices of 2559 hotels across 42 cities in India and 7 cities across USA for 8 days.  The aim was to find out the which factors affect the hotel prices in India & in USA .  How did we arrive at these results ? The data about the hotels included a total of 9 factors ( variables) -  Star Rating,  Hotel Capacity,  Weekend prices, Holiday prices, Free Wifi (Yes/No), Free Breakfast ( Yes/ No), Swimming Pool ( Yes/ No),  T ourist destination (Yes/No) , Country (India/ USA) The following result (of regression analysis with log) can be used for predicting hotel prices in India & USA. For India ( IsIndia = 1) For USA ( IsIndia = 0) Interpretation of Regression Analysis Results :  Keeping all other variables constant In US- ·         Hotels in the tourist destinations in general, charge 3.38% higher Room Rent. · ...
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