A change in the objective function coefficient (Pj) for a basic variable can affect a) only the Pj – Zj value of that variable. b) the Pj values of other basic variables. c) the Pj – Zj values of all the basic variables. d) the Pj – Zj values of all the nonbasic variables.
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- Suppose that a regional express delivery service company wants to estimate the cost of shipping a package (Y) as a function of cargo type, where cargo type includes the following possibilities: fragile, semifragile, and durable. Costs for 15 randomly chosen packages of approximately the same weight and same distance shipped, but of different cargo types, are provided in the file P13_16.xlsx. a. Estimate a regression equation using the given sample data, and interpret the estimated regression coefficients. b. According to the estimated regression equation, which cargo type is the most costly to ship? Which cargo type is the least costly to ship? c. How well does the estimated equation fit the given sample data? How might the fit be improved? d. Given the estimated regression equation, predict the cost of shipping a package with semifragile cargo.What changes occur in the Coefficients of a Nonbasic Variable when the original model is modified?Bad simulations Explain why each of the followingsimulations fails to model the real situation properly:a) Use a random integer from 0 through 9 to representthe number of heads when 9 coins are tossed. b) A basketball player takes a foul shot. Look at a ran-dom digit, using an odd digit to represent a good shot and an even digit to represent a miss.c) Use random numbers from 1 through 13 to represent thedenominations of the cards in a five-card poker hand.
- Given the following panel data model Y = Bo + B1X + a; + U which of the followings is(are) correct? Yanıtınız: a, refers observable fixed effects while u, refers to unobservable fixed effects. a, and u are both unobservable. We cannot estimate B, if X, is time varying. O We cannot estimate the model if some individuals are dropped from the data.When it first debuted, Telsa was selling its Model 3 sedan for $35,000. The Model 3 was priced substantially less than Tesla’s other models at the time, however, it had similar quality and input costs. In charging such a low price, it is most likely that Tesla is trying to: A. Create more value without capturing more value B. Capture more value without creating more value C. Create and capture more value D. None of the aboveA negative value of Z in standard normal distribution indicates that a. the number of standard deviations of an observation is to the right of the mean b. the number of standard deviations of an observation is to the left of the mean c. a mistake has been made in computations since Z cannot be negative d. the data has a negative mean 2. Which of the following will increase the breakeven point? a. Increase selling price b. Increase fixed cost c. Decrease variable cost d. Decrease fixed cost 3. The manager of a manufacturing company is trying to figure out how many products need to be produced for the coming quarter. Suppose the beginning inventory of the quarter is 500 units and the management predicts that the sales volume in the coming quarter would be 2400 units. The company also requires 1100 units ending inventory for the coming quarter. What should be the production volume for that quarter? a. 2400 b. 3000 c. 3300 d. 3900
- Let’s suppose that you have a set of time-series variables, and you want to model the relationship between them. Read the situations given below and answer the questions. (200 words)a) Explain the statistical test if the linear combination (of time-series variables) is I(0).b) Which statistical test can be applied if all the series are integrated of the same order I(1). Justify your answerOne of the assumptions made in simple regression is that ______________. a. the error terms are exponentially distributed b. the error terms have unequal variances c. the model is linear d. the error terms are dependent e. the model is nonlinearA carpenter is making doors that are 2058 millimeters tall. If the doors are too long they must be trimmed, and if they are too short they cannot be used. A sample of 13 doors is made, and it is found that they have a mean of 2043 millimeters with a variance of 1024. Is there evidence at the 0.025 level that the doors are too short and unusable? State the null and alternative hypotheses for the above scenario.
- Models that have no random input are called iconic models. Select one: True False4. ABC Dog Food Company located in Ottawa sells large bags of dog food to warehouse clubs. ABC uses an automatic filling process to fill the bags. Weights of the filled bags are approximately normally distributed with a mean of 50 kilograms and a standard deviation of 1.25 kilograms. (a) What is the probability that a filled bag will weigh less than 49.5 kilograms? (b) What is the probability that a randomly sampled filled bag will weigh between 48.5 and 51 kilograms? (c) What is the minimum weight a bag of dog food could be and remain in the top 15% of all bags filled? (d) ABC is unable to adjust the mean of the filling process. However, it is able to adjust the standard deviation of the filling process. What would the standard deviation need to be so that 2% of all filled bags weigh more than 52 kilograms?Given a normal distribution with μ= 105 and σ = 20, and given you select a sample of n = 16, complete parts (a) through (d). a. What is the probability that X is less than 92? P(X<92) 0.0047 (Type an integer or decimal rounded to four decimal places as needed.) b. What is the probability that X is between 92 and 93.5? P(92 X 93.5)= 0.0061 (Type an integer or decimal rounded to four decimal places as needed.) c. What is the probability that X is above 105.2? P(X 105.2)= 0.4840 (Type an integer or decimal rounded to four decimal places as needed.) d. There is a 67% chance that X is above what value? X = (Type an integer or decimal rounded to two decimal places as needed.)