..e 6. Calculate Semi-Inter-Quartile Range and its Co-efficient of Q.D. from the followingdata :30-4040-5050-6060-7070-8080-90Marks0-1010-2020-30No. of Students2528303322152211

Answered: Image /qna-images/answer/79d74b8a-dbf9-4351-a73c-44899ea68a4c.jpg

Answered: ..e 6. Calculate Semi-Inter-Quartile…

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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2.1. Give one word for the following statements or scenarios: 2.1.1. The data collected by the researcher from the Department of Education were the 2020 matric results for all South African high schools in disadvantaged areas.. 2.1.2. This analysis can be performed using either the method of moving averages, or by fitting a straight line using the method of least squares from regression analysis.
Solve the following question please
A score S is used to predict whether a disease is present. If the score is greater than a threshold value, the corresponding person is classified as ill, otherwise as healthy. Here, the scores S; for 9 persons are given. Furthermore, it is known whether the persons are actually ill (Y, = 1) or not (Yi = 0). The data look as follows: S; | Y; 0.3 0 1.2 1 0.7 0.8 1 0.1 0.4 1 1.1 0 0.2 0 1.4 1 (a) Draw by hand the ROC curve for the given data. Explain your procedure and the calcu- lation methods. (b) Calculate the area under the curve (AUC) by hand. Does this value indicate a good or bad classification? (c) Calculate the partial area under the curve (PAUC) if the specificity is to be at least 0.65. How do you judge this value?
The following data represent the commute time (in minutes) x and a score on a well-being survey y. The equation of the least-squares regression line is y = - 0.0423x + 69.1961 and the standard error of the estimate is 0.5262. Complete parts (a) through (e) below. 15 25 35 45 60 82 115 D 69.0 68.3 66.8 66.2 66.5 64.2 y 67.4 (a) Predict the mean well-being index composite score of all individuals whose commute time is 30 minutes. y = (Round to two decimal places as needed.) (b) Construct a 90% confidence interval for the mean well-being index composite score of all individuals whose commute time is 30 minutes. Lower Bound (Round to two decimal places as needed.) Upper Bound |(Round to two decimal places as needed.) (c) Predict the well-being index composite score of Jane, whose commute time is 30 minutes. y =(Round to two decimal places as needed.)
Q.1/ Use linear regression to fit the following experimental data. 图 2 3 4 5 7 10 y 5.2 7.8 10.7 13 19.3 26.5
Q3. Use multiple regression to find the line of best fit through the following data. What does this tell you? y 420 520 860 740 510 630 650 760 590 680 a 1 3 4 5 6. 7 8. 9. 10 7 3 1 2 6. 6. 23 15 64 52 13 40 36 20 19 24 d. 109 121 160 155 175 90 132 145 97 107
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Consider the bivariate dataset for variable Arkansas, (X) and variable Nebraska, (Y) given by the table. Group Arkansas Nebraska A 2.12 15 В 2.28 12 3.04 16 3.46 13 E 3.14 14 a. Find the value of the y-intercept of the regression line:
Please answer the all subparts in needed in 35-40 minutes thank u
Which would be the dependant variable, y?
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..e 6. Calculate Semi-Inter-Quartile Range and its Co-efficient of Q.D. from the followine 80-90 data : 30-40 40-50 50-60 60-70 70-80 Marks 0-10 10-20 20-30 28 30 33 22 15 22 No. of Students 11 18 25