Nominal Logistic Fit for PassClass(Words)Logistic Plot1.00PassClass(Words)0.750.50-0.250.00606570758085MidtermScorePassClassFailClassConverged in Gradient, 6 iterationsOdds RatiosFor PassClass(Words) odds of FailClassversus PassClassUnit Odds RatiosPer unit change in regressorTermOdds Ratio Lower 95% Upper 95% ReciprocalMidtermScore 0.695057 0.509788 0.947658 1.4387302Tests and confidence intervals on oddsratios are Wald based.What does the Y axis in this graph represent?The Odds of passing the midtermThe Probability of failing the classThe Odds of passing the classThe Probability of passing the class

Explanation:A nominal logistic regression was used in this particular context to examine the…

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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http Suppose the stock price is 40 and we need to price a call option with a strike of 45 maturing in 4 months. The stock is not expected to pay dividends. The continuously-compounded riskfree rate is 3%/year, the mean return on the stock is 7%/year, and the standard deviation of the stock return is 40%/year.
Compare the three samples - monodisperse or disperse? Bimodal or multimodal?
Data of variable-A is collected as shown to the right. Is the mean of Variable-A less than 80? State null hypothesis and choose level of significance, a = 0.05. (Use Excel ttest function, provide clear logic and reasoning.) Variable-A Variable-B 78.8 81.9 76.9 78.0 67.8 69.7 68.9 74.7 70.5 70.0 80.0 68.2 63.0 88.7 78.7 86.7 85.4 69.5 87.0 75.1 82.4 71.8 78.2 58.1 76.9 74.8 60.2 93.2 82.6 84.6 67.2 66.5 71.7 77.2 68.9 74.0 69.3 77.7 89.1 78.6 76.3 68.3 74.0 89.0 69.4 82.1 76.3 78.0 66.2 80.3 73.9 82.4 79.1 83.1 80.4 66.4 66.2 67.6 80.9 75.3
Statistica forecasting
Range Mean Absolute Deviatio Sample Standar d. Deviatio Sample Variance
QUESTION 1 Your rate of return expectations for the stock of Gidimadjor Company during the next year are Possible Rate of Return (kk) Possible Rate of Return Probability (Gidimadjor Itd) -0.60 0.56 0.15 -0.30 0.36 0.10 -0.10 -0.08 0.05 0.20 0.02 0.40 0.40 0.33 0.20 0.80 0.51 0.10 a. Compute the expected return [E(Ri)] on this stock, the variance (02) of this return, and its d. Compute the coefficients of variation (CVs) for KK Itd and Gidimadjor and discuss which stock return series has the greater relative dispersion.
(4.5, 3) (4.5, 3) 3 A 2 1- (-1.75. 0) (1.5, 0 -2.58 4.5 3.5 -3 1.5 -1 0.5 0,5 15 25 3.5 4.5 -1) -3- Estimate the average rate of change from point C to point E. 4 7 2 21
Еxample 4 The daily discharge of a river can be modeled using log-normal distribution with a mean of 1300 m/sec with a standard deviation of 500 m/sec. a. What is the probability that the discharge shall exceed 2000 m³/sec. b. What is the probability that the discharge shall exceed 1300 m³/sec. c. What is the conditional probability that the discharge is less than 2000 m/sec given it is more than the mean 1300 m/sec. d. If a bank is to be made across the river to avoid flooding with the design daily discharge that shall be exceeded once in 10 years. Calculate the design daily discharge
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Explain the conceptual significance of odds in logistic regression. of P(Y=1) is 0.60 calculate odds. For what value of P(Y-1), will the odds be 1? The graph for probabilities of logistic distribution can explain the consumer behavior and reducing rate of marginal utility. Do you agree? Explain with a diagram
When a time series is stationary, the appropriate forecasting technique(s) is (are). Multiple Cholce O simple exponential smoothing only simple moving averages or simple exponential smoothing simple moving averages only regression analysis or seasonal indexing

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