According to the data provided by DOH during the 4-month period starting May with the arrival ofCOVID-19 vaccines in the Philippines provides hope to all Filipinos that the program will continueuntil everybody will be given health protection against COVI-19 infection. Using a linear trendequation technique, calculate the forecast for people to be vaccinated at the end of September?Actual # of VaccinatedPersonsMonth(In Million)May1.8June3.2JulyAugustSeptember4.56.4O 13.30011.756O 12.735O 10.955

take may as the starting point that is x =0 fit a linear curve for this data Straight line equation…

Answered: According to the data provided by DOH…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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5) Does the scatterplot below show evidence of a positive or negative linear relationship between the percentage of people age 25+ with a BA degree and income per capita? 60000.00- 50000.00- 40000.00- 30000.00- 20000.00- 10.00 20.00 30.00 40.00 50.00 percent of people age 25+ with BA degree 2005 8 o 0008 0రిం income per capita 2005
A statistics professor finds that he can predict a student's grade on the final exam based on the number of classes the student attended over the course of the semester. What is the casual relationship between these two variables? a. Students who do well on exams are going to come to class because they enjoy the material. b. We cannot say anything definitive about the casual relationships, as all three of these explanations are possible. c. The relationship likely is the result of some third variable which accounts for both a student's attendance in class and his or her performance on the exam. d. Attendence in classes causes students to understand the material and do well on the exams.
(150)4. HBK, a food industry company wants to build a forecasting model to predict the sales of its hot beverage. HBK had the last weekly sales for the past 152 weeks. Using the time series components for trend (variable called tp) and seasonal--monthly dummy variables (using Dec as a baseline) and the causal variable of average weekly temperature HBK management build the model on the following page. Note the average hot-beverage weekly sales is $91,500. a. Evaluate the model on the following page, i.e., is it a good model? If so, why, or if not, why? Consider all the appropriate tests, use a = 0.05 for t test and a = 0.05 for F test. Notice on the following page is a plot of the residuals. DO ALL APPROPRIATE TESTS--COMPLETELY!!!!
1. A scatter chart with a trendline to explore the relationship between net sales and customer age? ( for both queestions can you clarify steps of how u got the answer) 2. A chart to examine whether the relationship between net sales and age depends on the marital status of the customer? Customer Type of Customer Items Net Sales Method of Payment Gender Marital Status Age 1 Regular 1 39.50 Discover Male Married 32 2 Promotional 1 102.40 Proprietary Card Female Married 36 3 Regular 1 22.50 Proprietary Card Female Married 32 4 Promotional 5 100.40 Proprietary Card Female Married 28 5 Regular 2 54.00 MasterCard Female Married 34 6 Regular 1 44.50 MasterCard Female Married 44 7 Promotional 2 78.00 Proprietary Card Female Married 30 8 Regular 1 22.50 Visa Female Married 40 9 Promotional 2 56.52 Proprietary Card Female Married 46 10 Regular 1 44.50 Proprietary Card Female Married 36 11 Regular 1 29.50 Proprietary Card Female Married 48 12 Promotional 1 31.60…
Define the term relationship as a perfect positive cross-correlation?
Chapter 5, Section 2, Exercise 046 Smoke-Free Legislation and AsthmaHospital admissions for asthma in children younger than 15 years was studied1 in Scotland both before and after comprehensive smoke-free legislation was passed in March 2006. Monthly records were kept of the annualized percent change in asthma admissions, both before and after the legislation was passed. For the sample studied, before the legislation, admissions for asthma were increasing at a mean rate of 5.2% per year. The standard error for this estimate is 0.7% per year. After the legislation, admissions were decreasing at a mean rate of 18.2% per year, with a standard error for this mean of 1.79%. In both cases, the sample size is large enough to use a normal distribution.1Mackay, D., et. al., ‘‘Smoke-free Legislation and Hospitalizations for Childhood Asthma,” The New England Journal of Medicine, September 16, 2010; 363(12):1139-45. (b) Find a 99% confidence interval…
In April of 2012, the Centers for Disease Control and Prevention announced that birth rates for U.S. teenag-ers reached historic lows. From 2009 to 2010 the rate declined 9%, to a level of 34.3 births per 1000 womenaged 15–19. Which of these conclusions is an example ofextrapolation in this context?A) There was a decreasing trend in teenage birth ratesat the time of this study.B) Time is an explanatory variable in the change ofteenage birth rates.C) By 2014, teenage birth rates will be 36% lower andset new records.D) There is a linear relationship between year andteenage birth rates.E) None of these is an example of extrapolation.
disp hp qsec wt Use the following visualization to answer questions 2 - 4. mpg drat drat mpg qsec wt hp disp -1 -0.8 -0.6-0.4 -0.20 0.2 0.4 0.6 0.8 1
5. Management of a home appliance store wants tounderstand the growth pattern of the monthly sales of a new technology device over the past two years.The managers have recorded the relevant data inthe file P13_05.xlsx. Have the sales of this devicebeen growing linearly over the past 24 months? Byexamining the results of a linear trend line, explainwhy or why not.
According to the World Health Organization, obesity has reached epidemic proportions globally. While obesity has generally been linked with chronic disease and disability, researchers argue that it may also affect wages. In other words, the body mass index (BMI) of an employee is a predictor for salary. (A person is considered overweight if his/her BMI is at least 25 and obese if BMI exceeds 30.) The accompanying data file includes salary (in $1,000s) for 30 college-educated men with their respective BMI and a dummy variable that represents 1 for a white man and 0 otherwise. Salary BMI White 34 33 1 43 26 1 44 26 1 34 35 0 34 36 1 53 20 1 42 20 0 37 26 1 35 28 1 46 22 1 46 20 1 34 35 0 45 26 1 33 34 0 25 29 0 32 30 1 46 18 0 31 31 0 54 19 1 37 23 0 42 27 1 38 30 1 45 18 0 38 26 0 41 28 1 39 28 1 50 20 1 41 26 1 38 28 1 45 21 1 1. Estimate a model for Salary with BMI and White as the predictor variables. Note: Negative…
In a planned study, there is a known population with a normal distribution, 4- 45, anda- 3. What is the predicted effect size (d) if the researchers predict that those given an experimental treatment have a mean of (a) 45, (b) 47, (c) 50, (d) 52, and (e) 42? For each part, also indicate whether the effect is approximately small, medium, or large. Show all equations and work.
Based on predictive modeling, this upcoming Winter is going to have very unpredictable weather. The National Weather service is considering abolishing specific long-term forecasts, and instead will utilize a statistical model that predicts a mean of six significant snowfalls per month. Use this information to answer the following question correctly: Trying to be forward-thinking, I'm going to try planning my one month long Winter Break based around this model's predictions. I will only travel for the holidays if there is at most one significant snowfall over winter break. What is the probability of this happening? O 0.0174 O 0.0149 O 0.0025 O 0.0542

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