The depth of wetting of a soil is the depth to which water content will increase owing toextemal factors. The article "Discussion of Method for Evaluation of Depth of Wetting inResidential Areas" (J. Nelson, K. Chao, and D. Overton, Journal of Geotechnical andGeoenvironmental Engineering, 2011:293-296) discusses the relationship between depth ofwetting beneath a structure and the age of the structure. The article presents measurementsof depth of wetting, in meters, and the ages, in years, of 21 houses, as shown in thefollowing table.AgeDepth7.644.66.19.134.37.35.210.415.55.810.745.56.110.710.44.67.06.11416.8109.18.8Compute the least-squares line for predicting depth of wetting (y) from age (x).b. Identify a point with an unusually large x-value. Compute the least-squares line thatresults from deletion of this point.Identify another point which can be classified as an outlier. Compute the least-squaresline that results from deletion of the outlier, replacing the point with the unusuallylarge x-value.Which of these two points is more influential? Explain.a.C.d.

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Answered: The depth of wetting of a soil is 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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.*.. 2] Document3 OFF AutoSave ^ 中。 Design Layout References Mailings Review >> Tell me 2 Sha sert Draw Calibri (Bo... 12 A^ A Aa v Ao Paragraph Create and Share Adobe PDF Dictate BIUVab x, x A Av Styles The boxplot below shows salaries for Construction workers and Teachers. Construction Teacher 25 35 45 55 40 Salary (thousands of $) 20 Jennie makes the first quartile salary for a construction worker. Markos makes the third quartile salary for a teacher. Who makes more money? of O Jennie O Markos How much more? $ 1 of 1 O words English (United States) JAN
The decline of salmon fisheries along the Columbia River in Oregon has caused great concern among commercial and recreational fishermen. The paper 'Feeding of Predaceous Fishes on Out-Migrating Juvenile Salmonids in John Day Reservoir, Columbia River' (Trans. Amer. Fisheries Soc. (1991: 405-420) gave the accompanying data on y = maximum size of salmonids consumed by a northern squaw fish (the most abundant salmonid predator) and x = squawfish length, both in mm. Here is the computer software printout of the summary: Coefficients: Estimate Std. Error t value Pr(> |t|) (Intercept) −89.010 16.720 −5.324 0.000 Length 0.704 0.049 14.333 0.000 Using this information, give the equation of the least squares regression line.
QUESTION 1 Is a point estimate a parameter or statistic? a. parameter O b. statistic
Let kids denote the number of children ever born to a woman, and let educ denote years of education for the woman. A simple model relating fertility to years of education is: kids; = Bo + B1educ; + uż. 1. What are the parameters in the model? 2. What kinds of factors are contained in u? Are these likely to be cor- related with level of education? 3. Will a simple regression analysis uncover the ceteris paribus effect of education on fertility? Explain.
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Fit these three regression models and then discuss the similarities and differences between them, particularly as relates to slope estimates (use CI’s) and R2. Also address why this is a “special case” and we wouldn’t necessarily expect to see these model characteristics for a typical dataset. a) Additive model including both predictors (output attached) b) Model including only Moisture (output attached) c) Model including only Sweetness BrandLiking = 68.62 + 4.38 Sweetness Term 95% CI P-ValueConstant (50.16, 87.09) 0.000Sweetness (-1.46, 10.21) 0.130 S R-sq R-sq(adj)10.8915 15.57% 9.54%
Trace metals in drinking water affect the flavor and an unusually high concentration can pose a health hazard. Ten pairs of data were taken measuring zinc concentration in bottom water and surface water. The raw data provided in table below. Does the data suggest that the true average concentration in the bottom water exceeds that of surface water? Use ?=0.01.
No. Emp. No. Prod. Wkrs. Value Added by Mfg. Cost of Materials Value of Indus. Shipmnts New Cap. Exp. End Yr. Inven. Indus. Grp. 433 370 23518 78713 4 1833 3630 1 131 83 15724 42774 4 1056 3157 1 204 169 24506 27222 4 1405 8732 1 100 70 21667 37040 4 1912 3407 1 220 137 20712 12030 4 1006 1155 1 89 69 12640 13674 3 873 3613 1 26 18 4258 19130 3 487 1946 1 143 72 35210 33521 4 2011 7199 1 171 126 20548 19612 4 1135 3135 1 21 15 23442 5557 3 605 5506 2 3 2 287 163 1 2 42 2 2 2 1508 314 1 15 155 2 6 4 624 2622 1 27 554 2 52 47 2471 4219 2 292 929 3 74 63 4307 5357 2 454 1427 3 13 12 673 1061 1 20 325 3 17 13 817 707 1 84 267 3 169 147 8986 10421 3 534 2083 3 51 41 3145 4140 2 220 697 3 55 44 4076 7125 2 176 1446 3 84 76 3806 8994 2 423 1014 3 61 47 4276 5504 2 464 1291 3 27 22 1239 716 1 22 356 4 200 178 9423 8926 3 200 2314 4 294 250 11045 11121 3 189 2727 4 38 32 1916 2283 1 29 682 4 17 14 599 364 1 21 197 4 34 28 2063 1813 1 20…
The difference between a regression weight and a beta weight is: A regression weight assumes linearity. A beta weight is for the population while a regression weight is for the sample. A regression weight is less biased. A beta weight is a standardized regression weight.
A blog noted that "there has been increasing anecdotal evidence that vitamin C may still be useful as an anticancer medicine if used in high concentrations and given directly into the vein (intravenously)." Use this information to answer the questions below. Question content area bottom Part 1 Explain what it means that there is "increasing anecdotal evidence" that Vitamin C may be a useful anticancer medicine. A. There is no evidence that shows Vitamin C may be a useful anticancer medicine. B. There is scientific evidence that Vitamin C is a non-useful anticancer medicine. C. There is an increase in rigorous or scientific analysis that shows Vitamin C may be a useful anticancer medicine. D. There is an increase in observations or personal experiences that shows Vitamin C may be a useful anticancer medicine. Part 2 How does anecdotal evidence contrast with scientific evidence? A. They are stories about individual cases.…
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Aa Febru The body mass index (BMI) of a person is defined to be the person's body mass divided by the square of the person's height. The article "Influences of Parameter Uncertainties within the ICRP 66 Respiratory Tract Model: Particle Deposition" (W. Bolch, E. Farfan, et al., Health Physics, 2001:378-394) states that body mass index (in kg/m2) in men aged 25-34 is lognormally distributed with parameters u = 3.215 and o = 0.157. a.Find the mean and standard deviation BMI for men aged 25-34. b.Find the standard deviation of BMI for men aged 25-34. c.Find the median BMI for men aged 25-34. d.What proportion of men aged 25-34 have a BMI less than 20? e.Find the 80th percentile of BMI for men agėd 25 -34. 04... Rext 田

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