Question 5Consider the following confusion matrix for a predictive logistic model.Predictedactual0 115223147103What are the estimated values of sensitivity and specificity?O sensitivity = .764 and specificity = .817O sensitivity = .687 and specificity = .869%3D%3!sensitivity = .313 and specificity = .131%3DO sensitivity = .687 and specificity = .131O sensitivity = .817 and specificity = .764

Given table : Predicted Actual 0 1 0 152 23 1 47 103 To find Sensitivity and…

Answered: Question 5 Consider the following…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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When evaluating the accuracy of a logistic regression model, specificity is the ability to correctly predict positive observations. Question 22 options: True False
3
Compare the three samples - monodisperse or disperse? Bimodal or multimodal?
Please tapy answer A. What is latent variable in the probit model? B. Which estimator will you choose to estimate a logit model? C. What is the “count R-square” for the probit model? D.What method can you use to estimate parameters of a sample selection data? E. can the, MLE be used to estimate parameters of a sample selection data?
A 18.2% B 15.7% C 22.2% D 4.4%
Refer to the Mintab output below. What can be said based on this ouput (in other words, which statement is TRUE)? Group of answer choices a. Age_Years is signficant in the prediction of the output under consideration b. The results of this research analysis cannot be reliably interpreted c. This output is from a simple linear regression research analysis d. An analysis of the residuals is required e. Answers 1 through 4 are all true
Comment on the statistical significance of the estimated logit model.
Suppose you wish to test the claim that μd, the mean value of the differences d for a population of paired data, is greater than 0. Given a sample of n=15 and a significance level of α=0.01, what decision criterion would be used for rejecting the null hypothesis?A. Reject the null hypothesis if the computed test statistic is ≤2.624.B. Reject the null hypothesis if the computed test statistic is ≥2.602.C. Reject the null hypothesis if the computed test statistic is ≥2.624.D. Reject the null hypothesis if the computed test statistic is ≥2.977 or ≤ -2.977.
10. You use the following four candidate models to fit a dataset with 300 observations. All parameters are estimated from the data. Model LogLikelihood SBC AIC Exponential Weibull -747 -753.704 Pareto -751 Gamma -747
Take a look at the following sample regressions (type of regression in top row), choose the type of model that best fits the data. Linear Logarithmic Intercept 6.7904 −5.6712 x 1.0607 NA In(x) NA 10.5447 se 2.4935 1.5231 R2 0.8233 0.9341 Adjusted R2 0.8013 0.9259 Linear Logrithmic Both equally Neither model explains a majority of the variation in y
How to do this with excel functions.
Which of the following applies the concept of “layering” to increase the sensitivity of a research analysis? Group of answer choices a. Chi-square Contingency Tables b. Binary Logistic Regression c. Regression d. Answers 1 and 2 only e. Answers 1, 2 and 3

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Question 5 Consider the following confusion matrix for a predictive logistic model. Predicted actual 152 23 1 47 103 What are the estimated values of sensitivity and specificity?