What is an issue with the linear probability model answered Select one: a. The model is not linear in the variables b. The model can predicts probabilities that that are negative c. The model is linear in the parameters d. it leads to an R-square thatis too high
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What is an issue with the linear probability model answered Select one:
a. The model is not linear in the variables
b. The model can predicts probabilities that that are negative
c. The model is linear in the parameters
d. it leads to an R-square thatis too high
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Solved in 2 steps
- It is sometimes said that, "Those who gamble the most are the ones who can least afford to lose." These people gamble because Group of answer choices the gambler has no family to consider if he/she dies. there is utility other than monetary to consider. the EMV is positive. the EMV is negativeSuppose that there are two types of workers: high and low. Employers cannot distinguish between different types during an interview. Employers value high type at $200,000 and low type at $100,000. Employers are in a competitive market (i.e. zero profit applies). High type workers have a reservation wage of 140,000 and low type workers have a reservation wage of 80,000. Suppose that 50% of all workers are high type. The productivities, reservation wages, and the probabilities are common knowledge). What wage would the employers offer? Please explain the solution!__ 2. According to the classical definition of probability a. All the events are equally likely. b. The probability is based on hunches. c. Divide the number of successes by the number of failures. d. One outcome is exactly twice the other.
- A presidential election poll contacts 2,000 randomly selected people. Should the number of people that support candidate A be analyzed using discrete or continuous probability models?Suppose that a high school student is preparing to take the SAT exam. Explain why his or her eventual SAT score is properly viewed as a random variable.What is sampling? Explain the differences between probability and nonprobability samples and identify the various typesof each
- Please do not give solution in image format thanku Two Manufacturers supply food to a large cafeteria. Manufacturer A supplies 40% of the soup served in the cafeteria, while Manufacturer B supplies 60% of the soup that is served. 3% of the soup cans provided by Manufacturer A are found to be dented, while 1% of the cans provided by Manufacturer B are found to be dented. Given that a can of soup is dented, find the probability that it came from Manufacturer B.According to a recent Wall Street Journal article, about 2% of new US car sales are electric vehicles (data from Edison Electric Institute reported by Jinjoo Lee, "Peak Oil? Not This Year. Or This Decade," January 9, 2021 pg. B12). Suppose a company has 111 employees who drive new cars (separately) to work each day. What is the probability that at least one of them will drive an electric car? Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.Probability is the likelihood or chance of an event occurring. Discuss its significance in real life. Develop a hypothesis about any real life occurring phenomena and calculate probability by using hypothetical values.
- You are modeling a qualitative variable that takes on two classes (classes 1 and 2). In trying to classify observation 11 (out of 20) you compute the conditional probability for class 1 as 0.51. How would you classify this observation?Fare F ($/trip) and travel time T (hr/trip) for Bus and Rails are given Bus: F= 40, T = 3 Rail: F = 56, T=2.5 We have a utility function u = -0.005 F -0.1 t * Use the logit model to find the probability of choosing bus * What change in rain rare would achieve the probability of choosing rail to be 55%? * What value use time is implied by the utility function? Start to think about the utility of one-hour a. it will be #% b. #$ c. $20$/hrA call center in Perth, Australia receives an average of 1.3 calls per minute. By looking at the date, a Poisson discrete distribution is assumed for this variable. Calculate each of the following.a. The probability of receiving no calls in the first minute of its office hours.b. The probability of receiving 1 call in the first minute.c. The probability of receiving 3 calls in the first minute.