1. (Prob. 11-12, p. 438) An article in the Journal of Environmental Engineering (1989, Vol. 115(3), pp.608–619) reported the results of a study on the occurrence of sodium and chloride in surfacestreams in central Rhode Island. The following data are chloride concentration y (in milligrams perliter) and roadway area in the watershed x (in percentage).y4.46.69.710.610.810.90.190.150.570.700.670.63y11.812.114.314.715.017.30.470.700.600.780.810.78y19.223.127.427.731.839.50.691.301.051.061.741.62a.Draw a scatter diagram of the data. Does a simple linear regression model seem appropriatehere?b. Fit the simple linear regression model using the method of least squares. Find an estimate ofo?.C.Estimate the mean chloride concentration for a watershed that has 1% roadway area.d. Find the fitted value corresponding to x = 0.47 and the associated residual.

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Answered: (Prob. 11-12, p. 438) An article in the…

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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The following table represents persons with secondary education (%) and persons with tertiary education (%) (two data sets) in all municipalities in Trinidad and Tobago as obtained from the 2011 Population and Housing Census. Code Municipality 10 11 12 13 14 15 20 30 40 50 60 70 80 90 98 City of Port of Spain Mayaro/ Rio Claro Sangre Grande Princes Town Penal/ Debe Siparia City of San Fernando Borough of Arima Borough of Chaguanas Borough of Point Fortin Diego Martin San Juan/ Laventille Tunapuna/ Piarco Couva/ Tabaquite/ Talparo Tobago Persons with secondary education (%) 70.10 50.27 55.86 58.60 62.00 61.19 69.63 68.57 65.48 64.10 69.50 63.45 65.61 60.51 58.31 Persons with tertiary education (%) 17.53 8.39 10.79 11.67 14.97 11.90 22.18 21.48 18.88 17.85 20.80 14.17 19.61 13.78 14.04
1. Consider the following data collected regarding infant blood pressure, age, and birth weight: i 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Birth weight in oz. (x1) 135 120 100 105 130 125 125 105 120 90 120 95 120 150 160 125 Age in days (x2) 3 4 3 2 4 5 2 3 5 4 2 3 3 4 3 3 Systolic Blood Pressure mmHg (y) 89 90 83 77 92 98 82 85 96 95 80 79 86 97 92 88 a. Fit a model to predict SBP from birth weight and Age. Present the equation of the least-squares regression line. b. Interpret the beta coefficients for Birth weight and Age. c. Are Birth weight and/or Age significantly associated with SBP at the alpha = 0.05 level? d. Interpret the corresponding 95% confidence intervals for both Birth weight and Age.
Suppose a researcher collects data on the bacterial contamination, measured in colony-forming unit per milliliter, for both upstream and downstream sections of 35 rivers. The data is plotted with upstream bacterial contamination on the horizontal axis and downstream bacterial contamination on the vertical axis. The Scioto River is an outlier in the ?y‑direction. What must be true about this river? The upstream bacterial contamination for this river is much higher or lower than the rest of the rivers in the data set. The downstream bacterial contamination for this river is much higher or lower than other rivers in the data set that have similar upstream bacterial contamination. This river is an influential observation. The downstream bacterial contamination for this river is much higher or much lower than the rest of the rivers in the data set. The absolute value of the residual of this river is large.
4 Answer Question 15-26 based on the information below: Table 1 gives data on weekly consumption expenditure (Y - in dollars) and weekly family income (X - in dollars). 15. 16. CONFIDENTIAL 17. 18. 19. 20. 21. 23. 24. A. 29520 and 260000 B. 57200 and 550.6667 C. 23.3333 and 420 D. 15.3333 and 130 26. What is the mean value of weekly consumption expenditure (Y) and weekly family income (X)? A. 0.0979 B. 0.2415 C. 2.6061 D. 4.6515 A. 0.0979 B. 0.2415 C. 2.6061 D. 4.6515 Y 4 7 8 10 13 What is the value of Ex² and Ey², given that x₁ = X₁ X while y₁=Y-Y? A. 29520 and 260000 B. 57200 and 550.6667 C. 23.3333 and 420 D. 15.3333 and 130 What is the value of Y and Σe, given that Y₁ = b₁ + b₂X, while e = Y₁-₁? A. 184 and 0 B. 184 and 2.4149 C. 15.3333 and 0 D. 15.3333 and 2.4149 A. 16.3124 B. 18.2704 15 17 Based on the method of Ordinary Least Squares (OLS), what is the value of intercept (b₁)? 18 20 22 24 26 A. 0.0021 B. 0.0915 C. 0.2415 D. 0.3025 Based on the method of Ordinary Least Squares…
iven group data: Gp l1 l2 . f . 1 20 30 7 2 30 40 9 . Find: Midquartile 3 40 50 12 4 50 60 15 5 60 70 5 6 . 70 80 4
The following table lists highway miles (in MPG) and weight (in pounds) for a variety of cars, foreign and domestic (same data as before). CAR HWY WEIGHT Chev. Cavalier 31 2795 Lincoln Cont. 24 3930 Mitsubishi Eclipse 33 3235 Olds. Aurora 26 3995 Pontiac Grand Am 30 3115 Chev. Corvette 28 3220 BMW 3-Series 27 3225 Ford Crown Victoria 24 3985 Hyundai Accent If we let x be the weight and y be the Highway MPG, and we used Excel to compute the equation of the Least- 37 2290 Square regression line (which comes out to be y = -0.00672'x + 51.1156) as well as the correlation coefficient (which comes out to be -0.89). Then you used that equation to predict that the Highway Miles for a car that weighs just 1000 pounds would be 44.4 mpg. I think this prediction is accurate because the person used Excel for the computation. O I think this prediction is not accurate since a car that weighs 1000 pounds is not part of the original data list. O Ithink this prediction is not accurate because the person…
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Question1) given below: The annual precipitation data (mm) recorded at Kumköy. Istanbul in period 1952-1990 are 661 676 555 892 679 556 760 716 585 733 867 893 520 913 648 639 908 707 608 725 675 748 893 1139 815 685 907 932 919 1230 720 658 737 837 731 1042 926 471 763 a) Plot the histogram and frequency histogram dividing the data into six equal class intervals. b) Investigate the effect of the number of class intervals using wider and narrower intervals. c) Plot the cumulative frequency distributions. d) Estimate the parameters for the central value of the annual precipitation. e) Estimate the parameters representing the dispersion of the data. f) Compute the skewness coefficient. Can the data be considered to be symmetrical?

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