Use the following time series data, to develop a regression equation relating memberships to time. Forecast 2023 membership Assuming the COVID-19 pandemic comes to an end in 2021, in your opinion, how will this affect membership? Why? How will this affect your prediction?

Use the following time series data, to develop a regression equation relating memberships to time. Forecast 2023 membership Assuming the COVID-19 pandemic comes to an end in 2021, in your opinion, how will this affect membership? Why? How will this affect your prediction?

College Algebra

7th Edition

ISBN:9781305115545

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter1: Equations And Graphs

Section: Chapter Questions

Problem 10T: Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s...

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Cinema HD an online movie streaming service that offers a wide variety of award-winning TV shows, movies, animes, and documentaries, would like to determine the mathematical trend of memberships in order to project future needs.

Year	2013	2014	2015	2016	2017	2018	2019	2020	2021
Membership	17	16	16	21	20	20	23	25	24

Use the following time series data, to develop a regression equation relating memberships to time.
Forecast 2023 membership
Assuming the COVID-19 pandemic comes to an end in 2021, in your opinion, how will this affect membership? Why? How will this affect your prediction?

What are the issues associated with qualitative forecasting, and how are these overcome?
Provide an example of qualitative forecasting and explain the shortcomings.

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Movieflix, an online movie streaming service that offers a wide variety of award-winning TV shows, movies, animes, and documentaries, would like to determine the mathematical trend of memberships in order to project future needs. Year 2013 2014 2015 2016 2017 2018 2019 2020 2021 Membership 17 16 16 21 20 20 23 25 24 Use the following time series data, to develop a regression equation relating memberships to time. Forecast 2023 membership Assuming the COVID-19 pandemic comes to an end in 2021, in your opinion, how will this affect membership? Why? How will this affect your prediction?
The dating web site Oollama.com requires its users to create profiles based on a survey in which they rate their interest (on a scale from 0 to 3) in five categories: physical fitness, music, spirituality, education, and alcohol consumption. A new Oollama customer, Erin O'Shaughnessy, has reviewed the profiles of 40 prospective dates and classified whether she is interested in learning more about them. Based on Erin's classification of these 40 profiles, Oollama has applied a logistic regression to predict Erin's interest in other profiles that she has not yet viewed. The resulting logistic regression model is as follows: For the 40 profiles (observations) on which Erin classified her interest, this logistic regression model generates that following probability of Interested. Probability of Probability of Observation Interested Interested Observation Interested Interested 35 1 1.000 13 1 0.412 21 1 0.999 2 0 0.285 29 1 0.999 3 0 0.219 25 1 0.999 7…
The dating web site Oollama.com requires its users to create profiles based on a survey in which they rate their interest (on a scale from 0 to 3) in five categories: physical fitness, music, spirituality, education, and alcohol consumption. A new Oollama customer, Erin O'Shaughnessy, has reviewed the profiles of 40 prospective dates and classified whether she is interested in learning more about them. Based on Erin's classification of these 40 profiles, Oollama has applied a logistic regression to predict Erin's interest in other profiles that she has not yet viewed. The resulting logistic regression model is as follows: For the 40 profiles (observations) on which Erin classified her interest, this logistic regression model generates that following probability of Interested. Probability of Probability of Observation Interested Interested Observation Interested Interested 35 1 1.000 13 0 0.412 21 1 0.999 2 0 0.285 29 1 0.999 3 0 0.219 25 1 0.999 7…
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I have a dataset of survey. how do I use logistic regression method to identify which variables are significant to the result("Satisified"). Please assist. Thanks! Trip Type Boarding experience Delayed arrival Booking experience Gender Seat Type Delayed departure Cleanliness Trip Distance Membership Wifi Staff friendliness Age Quality Food Seat comfort Checkin service Luggage service Online experience Departure Convenience Seat type Satisfied personal 3 30 5 Female economy 40 5 2366 points membership 4 5 29 1 5 5 5 4 1 1 1 business 3 1 5 Male premium 0 5 3562 points membership 4 5 48 5 5 4 5 5 1 5 1 business 5 0 5 Male economy 0 1 3042 points membership 5 3 47 1 1 1 2 5 1 5 1 business 5 22 4 Male premium 24 4 754 points membership 3 4 53 3 5 3 4 5 3 3 1 business 5 36 5 Female premium 31 5 77 points membership 5 5 40 3 5 5 4 4 3 3 1 business 3 0 3 Female economy 0 3 435 points membership 1 3 62 2 3 4 3 3 2 3 0 business 5 9 4 Male premium 16 4 1670 points membership 2…
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