Research reported the results of a study on the occurrence of oxygen and chloride in surface streams incentral Washington state area. The following data are chloride concentration y (in milligrams per liter)and roadway area in the watershed x (in percentage)y19.2023.1027.4031.8039.5027.701.060.691.301.051.741.62y4.406.609.7010.6010.8010.90x0.190.150.570.700.670.6311.8012.1014.30y14.7015.0017.30X0.470.700.600.780.810.78✓ Fit the simple linear regression model using the method of least squaresFind an estimate of 2Estimate the mean chloride concentration for a watershed that has 1% roadway areaFind the fitted value corresponding to x = 0.47A. 1.93591B. 13.81C. Fail to reject HoD. Reject HoEy 0.470+ 20.567x=F. 1.6629G. 21.038H. (18.2066, 23.8694)I. 2.14169J = 0.0997 + 0.0414xK. (9.8201, 32.2559)L. 10.14

Answered: Research reported the results of a…

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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(g) Compare the overall mean of the 11 data points to the currently accepted value. Report the absolute error and the relative error in percent assuming the currently accepted value is the true value.
A farmer in Indiana wants to examine the relation between the number of very hot days (days when the high temperature exceeds 95° F) and the corn production of his farm (in bushels of corn per acre). He looks at the data for 10 summers. Let x¡ = the number of hot days during the ith summer. %3D = the corn production (in bushels per acre) during the ih summer. Let yi The data are in the table below:. 4 6. 7 8. 9. 10 i 2 14 10 7. 8. 1 12 Xi Yi 95 80 83 87 88 85 99 102 79 95 a) Make a scatterplot of the data. b) Examine your scatterplot and, without performing any calculations, EXPLAIN whether you expect the correlation coefficient to be closer to -1, 0, or 1 and WHY. c) Find the sample mean and standard deviation for each variable. %3D %3D S. %3D y d) Place an asterisk on your scatterplot at the point (x,ỹ).
2. The following list represents the percentage of oxygen content (in g/L) of a given substance after various samples were taken: (the values have been ordered for convenience) 7 9 37 3 10 11 13 15 16 18 20 21 22 23 27 28 29 30 34 36 38 39 40 41 42 43 45 46 47 48 49 50 52 54 55 a) What is the 38th percentile for the data? b) What is the 71st percentile for the data? c) Find the Inter quartile range
c?
19. Consider the following data. Replicate NaCI Concentration (mM) 0. 50 100 200 127.2 134.0 2.4 40.9 70.5 10.6 47.7 96.7 12.0 31.9 26.4 28.1 4.6 36.3 76.0 78.3 234
The concentration level of Zinc in milligrams in two types of soil was found to be as follows Soil A: 2.1 4.0 6.3 5.4 4.8 3.7 6.1 3.3 Soil B: 0.6 3.1 2.5 4.0 6.2 1.6 2.2 1.9 5.4 To check the claim that the medians of concentration level in the two soils were unequal, we conducted an appropriate test at and we found that the test statistics is equal to a. 57 b. 65 c. 47 d. None Decision a. we reject the claim b. we fail to reject the claim c. we can’t decide d. None
Km. 211.
Which of the following bar graphs best represent the trend on the relative resolution rate between the different liquids and the particle sizes of the antacid tablets/chalks? If none, kindly indicate.
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The following data represent the concentration of organic carbon collected from mineral soil. (Data is already organized in ascending order … smallest to largest) 3.02 7 8.5 10.74 16.92 3.79 7.11 8.5 10.89 17.9 3.91 7.31 8.79 11.33 17.99 3.99 7.45 9.1 11.56 21 4.6 7.66 9.11 11.72 21.4 4.71 7.85 9.29 11.72 21.82 4.8 7.9 9.6 11.8 22.62 4.85 7.92 9.81 11.97 4.9 8.05 10.3 12.57 5.5 8.37 10.72 12.89 Compute the quartiles. Q1 is ____ (blank), Q2 is ____ (blank) , and Q3 is ____ (blank) Quartiles are data values that separate your data set into ____ (blank)equal parts. TRUE or FALSE Q2 is another name for the median
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Plot a calibration graph from the following data and determine the concentration of the unknown. Concentration(µg 1-1) 10 20 30 40 50 Unknown Peak area" 2315 3800 5900 8680 11600 5570 Internal standard 6150 5900 5740 6150 6730 6050 peak area“ "In arbitrary units.

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