For items 1 to 6: It is beneficial to be able to estimate the weight of a tree based on measurements of the treetaken before its harvest. Measurements on two variables were taken from a random sample of trees, whichwere subsequently harvested, and the actual weight (in kg) of the products were determined. The variablesmeasured are trunk diameter at breast height or DBH (measured about 4 feet from ground level; in inches),height of tree (in feet), and embryo type (monocot or dicot).Suppose that the assumptions of linear regression were satisfied. A multiple linear regression model forpredicting the weight of tree using diameter at breast height, height of tree, and embryo type was fitted. Thesoftware output is summarized below. Use alpha=5%.InterceptDBHheightEstimate-1015.4420.983164.0089.183type_monocot -161.278Multiple R-squaredStd. Error141.62239.6265.48688.177Adjusted R-squared0.9703tc-7.1704.1391.674-1.829p-value0.00053830.00200.01440.16950.1414p-value (model) 5. Which of the following is(are) TRUE?1. There is no need to test the significance of the individual regression coefficients.II. The variation in the weight that is explained by diameter at breast height, height of tree, and embryotype is 98.3% while the remaining percent is explained by other factors not considered in the model.O A. I onlyO B. II onlyO C. Both I and IIO D. Neither I nor II

Regression model is used to predict the future variable based on the independent variable. It…

Answered: For items 1 to 6: It is beneficial to…

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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Weighing Seals with a Camera. Listed below are the overhead widths (cm) of seals measured from photographs and the weights (kg) of the seals (based on “Mass Estimation of Weddell Seals Using Techniques of Photogrammetry,” by R. Garrott of Montana State University). The purpose of the study was to determine if weights of seals could be determined from overhead photographs. Find the predicted weight of a seal if the overhead width measured from a photograph is: a. 8.4 cm b. 9.4 cm c. 10.2 cm (Hint: Compute first the equation of the least squares lines).
For this problem, carry at least four digits after the decimal in your calculations. Answers may vary slightly due to rounding.In a combined study of northern pike, cutthroat trout, rainbow trout, and lake trout, it was found that 34 out of 806 fish died when caught and released using barbless hooks on flies or lures. All hooks were removed from the fish. (a) Let p represent the proportion of all pike and trout that die (i.e., p is the mortality rate) when caught and released using barbless hooks. Find a point estimate for p. (Round your answer to four decimal places.)(b) Find a 99% confidence interval for p. (Round your answers to three decimal places.) lower limit upper limit
b) Given P = W²H.If errors up to 2% and 1% are possible in the measured value of W and H respectively, then find the percentage error in the calculated value of P.
Using the given data, find the following. 468 324 175 439 407 355 261 436 435 135 220 Send data to Excel Part: 0/ 2 Part 1 of 2 Identify the five-number summary. Round your answers to one decimal place as needed. De, - MD = Oe, -High = Low = %3D
54% of all the town's residents own a dog and 66% own a cat. Of the town resident is chosen at random find: (round to 4 decimal places a. P(Own a Dog) = %3D b. P(Own a Cat) = c. P(Own a Cat and a Dog) d. P(Own a Dog GIVEN Own a Cat) =
For items 1 to 6: It is beneficial to be able to estimate the weight of a tree based on measurements of the tree taken before its harvest. Measurements on two variables were taken from a random sample of trees, which were subsequently harvested, and the actual weight (in kg) of the products were determined. The variables measured are trunk diameter at breast height or DBH (measured about 4 feet from ground level; in inches), height of tree (in feet), and embryo type (monocot or dicot). 2. Assume that weight and diameter at breast height are bivariate normal. The use of the parametric correlation analysis on these two variables is valid because O A. the independent and dependent variables are identified O B. the variables are measured in ordinal level O C. the collected data are quantitative in nature O D. one variable will predict the other variable
The data on the right represent the number of live multiple-delivery births (three or more babies) in a particular year for women 15 to 54 years old. Use the data to complete Number of Multiple parts (a) through (d) below. Age 15-19 Births 89 20-24 515 25-29 1628 30-34 2837 35-39 40-44 1849 373 45-54 118 (a) Delemne une provavmy uiat a Tanuomy seiecieu muupie DiruTIOr WUmen TO-04 years uiu nvoiveu a IOuier JU U 39 years OIu. P(30 to 39) = 1 (Type an integer or decimal rounded to three decimal places as needed.) (b) Determine the probability that a randomly selected multiple birth for women 15-54 years old involved a mother who was not 30 to 39 years old. P(not 30 to 39) = (Type an integer or decimal rounded to three decimal places as needed.) (c) Determine the probability that a randomly selected multiple birth for women 15-54 years old involved a mother who was less than 45 years old. P(less than 45) = (Type an integer or decimal rounded to three decimal places as needed.)
In the accompanying data table, the entries are for five different years and consist of the weights (metric tons) of lemons imported from another country and car crash fatality rates per 100,000 population. The data are based on data from a scientific publication. Lemon Imports: 220 274 355 478 539 Crash Fatality Rate: 16.7 14.8 15.2 14.7 15.8 Given that the data are matched and considering the units of the data, does it make sense to use the difference between each pair of values? Why or why not? Choose the correct answer below. A. No, it does not make sense to use the difference between each amount of lemon imports and car crash fatality rate in the same column,because the terms should be added. B. Yes, it does make sense to use the difference between each amount of lemon imports and car crash fatality rate in the same column, because they are measurements obtained from the same year. C. No, it does not make…
To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, the Jacobs Chemical Company obtained the following data on the time (in minutes) needed to mix the material. Compute the values below (to 2 decimals, if necessary). Sum of Squares, Treatment Sum of Squares, Error a. Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use a = 0.05. Mean Squares, Treatment 0000 Mean Squares, Error Calculate the value of the test statistic (to 2 decimals). 1 17 23 21 19 What conclusion can you draw after carrying out this test? - Select your answer - Manufacturer 2 28 26 31 27 + 3 18 17 21 20 The p-value is - Select your answer - What is your conclusion? - Select your answer - b. At the a = 0.05 level of significance, use Fisher's LSD procedure to test for the equality of the means for manufacturers 1 and 3. Calculate Fisher's LSD Value (to 2 decimals).
For numbers 18 to 21: A study was conducted using 50 undergraduates at a large private university who volunteered to participate in the research as partial fulfillment of a course requirement. One of the items studi ed was the maximum daly amount of alcohol consumed in the last month. Base on the datain the following table, are there differen ces between males and females in the maximum amount of alcohol consumedin any one day in the pastmonth? Use 5% level of significance. Assume equal variances. Male 8.2 female 5.6 5.7 30 Alcohol consumed Mean Standard deviation Number of students 5.9 20 18. Which of thefollowing is the appropriate altemative hypothesis? A There are more female participants than males B. The amount of alcohol consumed by males is higherthan the amount consumed by the females. C The amount of alcohol consumed by males and females in the past month is not the same. D. The amount of alcohol consumed by males and females in the past month is the same. 19. The pooled…
For items 1 to 6: It is beneficial to be able to estimate the weight of a tree based on measurements of the tree taken before its harvest. Measurements on two variables were taken from a random sample of trees, which were subsequently harvested, and the actual weight (in kg) of the products were determined. The variables measured are trunk diameter at breast height or DBH (measured about 4 feet from ground level; in inches), height of tree (in feet), and embryo type (monocot or dicot). Suppose that the assumptions of linear regression were satisfied. A multiple linear regression model for predicting the weight of tree using diameter at breast height, height of tree, and embryo type was fitted. The software output is summarized below. Use alpha=5%. Intercept DBH height Estimate -1015.442 0.983 164.008 9.183 type_monocot -161.278 Multiple R-squared Std. Error 141.622 39.626 5.486 88.177 Adjusted R-squared 0.9703 tc -7.170 4.139 1.674 -1.829 p-value 0.0005383 0.0020 0.0144 0.1695 0.1414…
Researchers are interested in the effect of a certain nutrient on the growth rate of plant seedlings. Using a hydroponics grow procedure that utilized water containing the nutrient, they planted six tomato plants and recorded the heights of each plant 14 days after germination. Those heights, measured in millimeters, were as follows: 56.4, 58.9, 61.8, 62.1, 65.2, 69.4. a. Find a point estimate of the population mean height of this variety of seedling 14 days after germination. b. Given a margin of error of 4.8 mm, construct a 95% confidence interval for the population mean height. c. Use this example to explain why a point estimate alone is usually insufficient for statistical inference.

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