Block 1: Method = EnterStep 1Omnibus Tests of Model CoefficientsChi-squaredfStep41.4595Block41.459Model41.459Model SummaryStep 10Step 1ª-2 LoglikelihoodCox & Snell RSquareStep1458.517ª.098a. Estimation terminated at iteration number 4because parameter estimates changed by lessthan .001.(J) The value of the G statistic ispredictor variablesClassification TableªadmitObservedadmit1Overall Percentage5B5.002.804Sig.0.000.000.000Nagelkerke RSquare.138a. The cut value is .500gre.001gpa.332rankrank(1)1.551418rank(2).876.367rank(3).211.393Constant-5.5411.138a. Variable(s) entered on step 1: gre, gpa, rank.Predicted1PercentageCorrect254199730Variables in the EquationS.E.Wald4.2845.87220.89513.7875.706.28923.709and indicates that the three93.023.671.0df113-ل ه ه ه1Sig..038015.000.000.017.591.000Exp (B)1.0022.2354.7182.4011.235.004Neut rishV:IVIVit (K) The sensitivity =X =and y =a(L) The specificity = a =band b =(M) The overall success rate of the logit model isS(N) The false positive of the predicting equation istt=(0) The false negative of the predicting equation isandf=(P) For every one unit change in gre, the logit of admission (versus non-admission)increases by(Q) For a one unit increase in gpa, the logit of being admitted to graduate schoolincreases by(R) Having attended an undergraduate institution with rank of 1, versus an institutionwith a rank of 4, increases the logit of admission byyS=and

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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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A study of emergency service facilities investigated the relationship between the number of facilities and the average distance traveled to provide the emergency service. The following table gives the data collected. Number of Facilities Average Distance (miles) 9 1.67 11 1.11 16 0.84 21 0.61 27 0.51 30 0.48 (a) Develop a scatter diagram for these data, treating average distance traveled as the dependent variable. CELL 0.2 0.4 0.6 0.8 1.2 1.4 1.6 1.8 Number Number Number Distance @ (b) Does a simple linear regression model appear to be appropriate? Explain. O Yes, the scatter diagram suggests that there is a linear relationship. O No, the scatter diagram suggests that there is no relationship. O No, the scatter diagram suggests that there is a curvilinear relationship. (c) Develop an estimated regression equation for the data of the form ý = b + b₁x + b₂x²: a second-order model with one predictor variable. (Round your numerical values to four decimal places.) ŷ =
A statistical program is recommended. A study of emergency service facilities investigated the relationship between the number of facilities and the average distance traveled to provide the emergency service. The following table gives the data collected. Number of Facilities Average Distance (miles) 9 1.66 11 1.12 16 0.83 21 0.63 27 0.50 30 0.48 (a) Develop a scatter diagram for these data, treating average distance traveled as the dependent variable. 1.8T 35 1.8 1.8- 1.6 1.6- 1.6- 30 1.4 1.4 1.4 1.2 25- 1.2- 1.2- 1. 1. 1. 20 0.8 0.8 0.8 0.6 15 0.6 0.6 .. 0.4 0.4 0.4 104 A scatter diagram has 6 points. The horizontal axis ranges from O to 1.8 and is labeled: Distance. The vertical axis ranges from 5 to 35 and is labeled: Number. Moying, from, left to right, the leftmost point is at'approximately (0.48, 36), with the next five points extending downward. The points d @O and then level off. 0.2 0.2 0.2 0. 0. 0. 5 10 15 20 25 30 35 10 15 20 25 30 35 10 15 20 25 30 35 Number ecrease steeply…
In an experiment, the purpose for manipulating the independent variable is to help? A. Establish the direction of the relationship by showing that the dependent variable changes when you manipulate the independent variable B. Ensure that any effects of selection or other randomization failures are minimized C. Establish the direction of the relationship and help eliminate the third variable problem D. Eliminate the third variable problem because you decide when to manipulate rather than waiting for the variable to change

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The value of the G statistic is predictor variables and indicates that the three