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- A paper company has about 50 paper mills distributed over 3 provinces. Each mill records specified factors that contribute to its profitability. The company has classified the mills as Profitable and Non- Profitable. They recorded paper weight produced as an indicator of profitability. That is, X₁ = PAPER (weight in 10000 kilograms) Y = PROF (1 = profitable and 0 = not profitable) Y Profitable 1 1 0 It was found that Paper 2 1.5 0.8 ît= exp(-2.94 + 0.098X₁) 1 + exp(-2.94 +0.098X₁) 1. Give the fitted logistic response function. 2. Give the fitted logit response function 3. Show that ft loge € (₁^²) = = -2.94 + 0.098X₁ 4. Give the odds to be used of this logistic regression for X₁ = 0.7. Explain your result. 5. What is the estimated probability that a mill be profitable if it produces 7 000 kilograms of paper? 7. Interpret the regression coefficients of ît= Also find the odds ratio for b₁. exp(-2.94 + 0.098X₁) 1 + exp(-2.94 +0.098X₁)b) When a three-month weighted moving average (W1=0.5, W2 = 0.3, and W3 = 0.2) is used, what is the forecast on the sales in May. (Hint: Ft+1= W1Yt+ W2Y (t- 1)+ W3Y (t-2) )(round to whole number) For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). BIUS Paragraph Arial 10pt I A .E.The Simple Solution to Traffic A study in 2017 showed that Metro Manila has the 3rd worst traffic among its Southeast Asian neighbors. Government authorities are receiving several complaints from commuters due to the worst transport connectivity and endless queueing and congestions among rail transit stations. In this regard, aligning projects for the improvement of the traffic system as part of the "Metro Manila Dream (MMD) Plan" was set into motion. However, media reports claimed that many commuters did not feel any improvement in the current traffic situation in the Metro, especially in Epifanio Delos Santos Avenue (EDSA). The chair of the Metro Manila Development Authority (MMDA) is keen to verify if the road traffic conditions are fairly improving in EDSA despite various media reports. In the past, the recorded vehicular traffic speed in EDSA shows about 15 kph, on the average. To do this, the MMDA deployed speed measuring radars in which the traffic speeds of 200 randomly sampled…
- TEST SEMESTER/SESSION : 1/ 2021/2022 PROGRAMME : BFF COURSE NAME CIVIL ENGINEERING COURSE CODE BFC 34303 STATISTICS Number of drivers involved with accidents 600 during night time. Number of drivers involved with accidents 300 during day time. Number of drivers involved with accidents 175 during both night and day time. Number of drivers have no experience with 50 road accidents. FIGURE Q1(b): Data from the survey conducted among teenagers who drive a carAn IT company is planning to introduce a new product. In order to predict its sales, they release the test version of the product to a group of early-access users. Each user is asked to give a score for the product from 0 to 100. If a user's score is greater than 50, then the user is classified as a potential buyer. a) Suppose you are a researcher and can collect any data as you wish. Briefly discuss what data you would collect, and how you would collect them. What distribution would be the best choice to model the score? What distribution would be the best choice to model being a potential buyer? Be sure to define random variables clearly. Give reasons for your answer. b) The manager decided that if more than 80% of users are classified as potential buyers, they will release the product. How would you conduct a hypothesis test? Make assumptions if you need. Please give some detailed reasons, i will be very very appreciate!!!!!nce- Edger x O Classkick H Video Conferencing, Meetings, C x i (8) General (C. Williams British + app.classkick.com/#/account/student-works/AXkOclamT0aHg4WrnXIVYw/questions/AXkOAebiQWedVpYLPp_usQ Q A USATestprep, LLC - 25. (4/26) Unit 4 Practice Test T 31/33 Find the value of x and y. 1/1 Pt 75 80° y= 70 (y+30)° (x-10)
- ile C:/Users/anl 8. As was discussed in the Analytics in Action from Chapter 2, the U.S. Census Bureau is a leading source of quantitative data related to the people and economy of the United States. The crosstabulation below represents the number of households (1,000s) and the household income by the highest level of education for the head of household (U.S. Census Bureau web site, 2013). Use this crosstabulation to answer the following questions. Household Income $25,000 to $50,000 to $100,000 $99,999 Highest Level of Education Under Total and Over $49,999 $25,000 32,773 9,441 3,482 9,880 9,970 High school graduate Bachelor's degree Master's degree Doctoral degree 7,817 22,131 4,164 7,666 2,484 4,094 9,003 3,019 685 1,205 422 1,076 1,737 79 160 15,499 20,548 13,128 16,469 65,644 Total a. Develop a joint probability table. b. What is the probability the head of one of these households has a master's degree or higher education? c. What is the probability a household is headed by…No generated AI please.Research engineers with the University of Kentucky Transportation Research Program have collected data on accidents occurring at all intersections in Lexington, Kentucky, over a period of 5 years. One of the goals to study was to compare the average number of left-turn accidents at locations with and without left turn only lanes to develop numerical warrants (or guidelines) for the installation of left turn lanes. a) Determine the population of the interest, its sample and variables. b) List one suitable method to collect the data.
- A company provides maintenance service for water-filtration systems throughout southern Florida. Customers contact the company with requests for maintenance service on their water-filtration systems. To estimate the service time and the service cost, the company's managers want to predict the repair time necessary for each maintenance request. Hence, repair time in hours is the dependent variable. Repair time is believed to be related to three factors, the number of months since the last maintenance service, the type of repair problem (mechanical or electrical), and the repairperson who performed the service. Data for a sample of 10 service calls are reported in the table below. Repair Time Months Since in Hours Last Service 2.9 3.0 4.8 1.8 2.5 4.9 4.2 4.8 4.4 4.5 2 6 8 3 2 7 9 8 4 6 Type of Repair Repairperson Electrical Mechanical Electrical Mechanical Electrical Electrical Mechanical Mechanical Electrical Electrical Dave Newton ŷ = X Check which variable(s)/term(s) should be in your…A company provides maintenance service for water-filtration systems throughout southern Florida. Customers contact the company with requests for maintenance service on their water-filtration systems. To estimate the service time and the service cost, the company's managers want to predict the repair time necessary for each maintenance request. Hence, repair time in hours is the dependent variable. Repair time is believed to be related to three factors, the number of months since the last maintenance service, the type of repair problem (mechanical or electrical), and the repairperson who performed the service. Data for a sample of 10 service calls are reported in the table below. Repair Timein Hours Months SinceLast Service Type of Repair Repairperson 2.9 2 Electrical Dave Newton 3.0 6 Mechanical Dave Newton 4.8 8 Electrical Bob Jones 1.8 3 Mechanical Dave Newton 2.5 2 Electrical Dave Newton 4.9 7 Electrical Bob Jones 4.6 9 Mechanical Bob Jones 4.8 8 Mechanical Bob…A survey of high school students was done to examine whether students had ever driven a car after consuming a substantial amount of alcohol (1=yes, 0=no). Data was collected on their sex (male/female), race (White/non-White), and grade level (9,10,11,12). Researchers realized that the impact of race on consuming alcohol before driving might vary by grade level and decided to fit the following model. Variable Coding = 1 if Intercept Sex () Female Race () Black Grade level ( 9th grade 10th grade 11th grade [Reference = 12th grade] Attached is the logistic model 1. Compute the OR of drinking before driving for students who self-reported as Black versus non-Black in the 9th grade, adjusting for gender. 2. Compute the OR of drinking before driving for students who self-reported as Black versus non-Black in the 12th grade, adjusting for gender. 3. Compute the OR of drinking before driving for someone in the 9th grade versus 12th grade for a student who…