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- the logit function(given as l(x)) is the log of odds function. what could be the range of logit function in the domain x=[0,1]?In the goodness-of-fit measures, interpret the coefficient of determination for Earnings with Model 3 and what the sample variation of earnings explains. Model 1 Model 2 Model 3 Standard error of the estimate Se 6,648.6753 5,430.0734 5,834.7554 Coefficient of determination R2 0.9597 0.3501 0.7005 Adjusted R2 0.6243 0.8442 0.4045 .A nine character long password is to be created using lower-case letters, four special characters {!, @, #, $} and digits. For the password to be valid, it must contain at least one lower-case letter, one of the given special characters and one digit. What is the probability that a randomly generated nine character password is valid? Assume that the password is generated using only the lower-case letters, the given special characters and digits
- For 1990, let dkr be a firm’s debt to capital ratio, let eps denote earnings per share, let netinc denote net income in millions USD, and let salary denote total compensation for the CEO in thousands USD. The following equation was estimated: return= -14.37+0.321 dkr + 0.043 eps -0.0051 nentinc + 0.0035 * salary (6.89) (0.201) (0.078) (0.0047) (0.0022) n=142, adj. R-squared=0.0395 What do we know about the fit of the regression?Consider the following Confusion Matrix: Actual (down) \ Predicted (across) Yes No Totals Yes 20 5 No 10 15 Totals Based on the given time to event data, what is the value of the cumulative distribution function at t=6 if there are 10 right-censored observations?that range from 1 to 8 minutes apart. Assuming that the inter-arrival times are integer-valued with each of the 8 values having equal probability, following uniform distribution. The service times vary from 1 to 6 minutes (integer) with the probabilities given in the following table: Service time (in mins) Probability 1 0.10 2 0.20 3 0.30 4 0.25 5 0.10 6 0.05 The random numbers for inter-arrival time are: 913, 727, 015, 948, 309, 922, 753, 235, 302. The random numbers for service time are: 84, 10, 74, 53, 17, 79, 91, 67, 89, 38. As a student of AIT, use your knowledge in computer simulation and help Mr. Owusu to: a) Simulate the system for 10 customers and compute waiting time of customers, total time spent by a customer in the system and idle time of the server. b) i. Explain average waiting time and compute it ii. Explain average time spent in the system and compute it. c) i. Evaluate the probability of idle server ii.…
- Write a self-defined function to correctly compute NPV, assuming the general parameters are cash flows = c(CF0,CF1,CF2,CF3…,CFN) and rates = c(r0,r1,r2,r3…rM)using RStuido, The cell phone bill varies from month to month. Suppose that your bills had the following monthly amounts last year: bill = c(46, 33, 39, 37, 46, 30, 48, 32, 49, 35, 30, 48) Run the following calculations, and explain its result: range(bill)range(bill)[2] - range(bill)[1] How many months was the amount greater than $40? What percentage was this?Pretend you have five employees who would like to know exactly how much their bi-weekly pay will be once all of their deductions are taken off. Their weekly pay is as follows: Emp #1. $1100 Emp #2. $1300 Emp #3. $1500 Emp #4. $1700 Emp #5. $2300 *Taxation *
- Consider values shown in the table below:i=1 (cold) i=2 (allergy) i=3 (stomach pain) p(Hi)0.60.30.1 p(E1 |Hi)0.30.80.3 p(E2 |Hi)0.60.90.0Those values represent (hypothetically) three mutually exclusive and exhaustive hypotheses for the patient’s condition. For example, H1: the patient has a cold, H2: the patient has an allergy, and H3: the patient has stomach pain with their prior probabilities, p(Hi)’s and two conditionally independent pieces of evidence (E1, patient sneezes and E2, patient coughs) which support these hypotheses to differing degrees. Therefore;a) Compute the posterior probabilities for the hypothesis if the patient sneezes. What is the conclusion that can be derived from this condition?b) Based on the answer from the previous result, as the patient coughs are now observed, compute the posterior probabilities for this condition. Explain the results.max = 3.14*r^2*h3.14*r^2+2*3.14*r*h<=151.25;r>0;h>0; Slove above nonlinear model using lindo, and provide the script, solution as a screenshot of lindo or lingoIf consumption_expenditures is given for the official poverty line, how can we calculate the official poverty line by age and sex in STATA? what is the code.