Question

A) The length of the person's vocal cord is 17.1 mm and the length of the vocal tract is 14.1 cm. What is the probability that a person is classified as a woman?

Gender	Vocal cord (mm)	Vocal tract (cm)
Female	15.3	12.7
Female	14.7	15.5
Female	14.2	14.9
Female	17.2	14.0
Female	15.8	12.6
Female	17.3	13.5
Female	13.9	14.2
Female	15.5	11.2
Female	12.7	14.0
Female	14.4	14.2
Male	23.2	16.8
Male	18.3	19.0
Male	17.0	20.2
Male	16.9	19.5
Male	21.5	15.7
Male	19.4	13.5
Male	16.4	17.6
Male	19.4	17.8
Male	16.9	18.1
Male	17.2	19.3

B) (Construct a logistic regression model from the data, in which the length of the path is explained by gender.) What proportion of the data does the model correctly categorize for all individuals? Please enter your answer again in bare digits to two decimal places.

Just the answers/digits, please :) No need to explain. Thanks!

Answer 1

probability =1.2825*10^(-10)

Project: (None) Console D/Highgate/San Fran Trial/ data-read.csv("C:\\Users\\xx\\Desktop\\Index .csv") train-data[1:20,] test-data [21, ] model-glm(Gender-Vocal_cord+Vocal_tract,family = "binomial",data =train) Warning messages: 1: glm.fit: algorithm did not converge 2: glm.fit: fitted probabilities numerically 0 or 1 occurred >library(pscl) pR2 Cmode1) 11hNull -4.590675e-10 -1.386294e+01 2.772589e+01 1.000000e+00 r2CU 11h McFadden G2 r2ML 7.500000e-01 1.000000e+00 > fitted.results predict(mode1, test, type-'response') > fitted.results 21 1.282555e-10