The following Minitab display gives information regarding the relationship between the body weight of a child (in kilograms) and the metabolic rate of the child (in 100 kcal/hr).PredietorCoefSE CoetConstant0.85700.41482.060.04Weight0.302430.0297813.520.000B0.51750eR-Bg 97.4(a) Write out the least-squares equation.(b) For each 1 kilogram increase in weight, how much does the metabolic rate of a child increase? (Use 5 decimal places.)(c) What is the value of the correlation coefficient ? (Use 3 decimal places.)

Answered: Image /qna-images/answer/0c2e3282-694f-4f5f-aae7-41fe611ba66a.jpg

Answered: hr). weight of a child (in kilograms)…

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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A regression of average monthly expenditure (AME, measured in euros) on average monthly income (AMI, measured in euros) using a random sample of college-educated full-time workers earnings €100 to €1.5 million yields the following: AME = 710.7 + 8.8 × AMI, R2 = 0.030, SER = 540.30 d. What does the regression predict will be the expenditure of a person with an income of €100? With an income of €200? e. Will the regression give reliable predictions for a person with an income of €2 million? Why or why not? ( f. Given what you know about the distribution of earnings, do you think it is plausible that the distribution of errors in the regression is normal? (Hint: Do you think that the distribution is symmetric or skewed? What is the smallest value of earnings, and is it consistent with a normal distribution?).
The peanut crop was harvested from five fields of various area. The following data are the mass of the crop from each field y (in kilograms) and the field area x (in hectares). X 6² Round your intermediate answers to four decimal places (e.g. 98.7654). (a) Fit the simple linear regression model using the method of least squares. Find the estimate of ². Round your answer to the nearest integer (e.g. 9876). i B₁ = (b) What change in the mean mass is expected when the field area changes by 1 hectare? Round your answer to the nearest integer (e.g. 9876). ŷ: 7280 15730 13590 19820 12860 = 2.01 3.93 3.68 4.33 2.33 (c) Calculate the fitted value of y corresponding to x = 2.01. Find the corresponding residual. Round your answer to the nearest integer (e.g. 9876). =
H10.
3b
OU %3D 6. V3x-2% =5 7. /x+5=7:32 Vx= 33/7 189 %3D 9. 8-4/x=7 %3D 9. 8.
Round to two decimal places as needed.
Stoaches are fictional creatures, sometimes mistaken for mome raths. Suppose a two-tailed t-test is conducted to test for a difference between the population means of adult female stoach weights and adult male stoach weights. The female sample has 13 weights, and the male sample has 7 weights. The t-statistic for the test is -0.20542. What is the p-value? (Give your answer to 4 decimal places.) p-value:
Q1/ Four engineering classes A, B, C and, D were tested for the percentage of students success in the examination of mathematic measured from each one of them. The following table gives the number of students in each class and percentage of students success collected from each class. Compute the followings: Class A D Number of students in each class 25 30 25 20 Percentages of student's success in each class 72% 74% 75% 65% 1-Total percentage of observed failed students? 2- If a certain class is tested randomly, compute the probability that it is success taken from class B and D?
We will _______ if the test statistic lands in the unlikely region. Group of answer choices A. reject the alternative hypothesis B. fail to reject the null hypothesis C. cannot determine D. reject the null hypothesis and accept the alternative hypothesis
frequency B- A data of 8 employees on ownership of company stock a personal director has collected as: Firm-X 6 12 14 6 9 13 15 9 Versus Y 300 408 560 252 288 650 630 522 1- Determine the regression value 2- For an employee who has been with the firm 10 years. What is the predicted number of shares of stock owned?
in simple linear regression, given the following table : n = 25 E(y,-7) = 1407 %3D SSR = 472 Calculate the standard error of the estimate (s): Select one: Oa. 7.82 Ob. 6.38 Oc. 58.62 d. 34.63 Next
log(salary) = 8.34 + 0.0047LSAT + 0.248GPA + 0.095log(libvol) + 0.038log(cost) + 0.0033rank 1+ ɛ 136, R2: = 0.842 n = What is the predicted ceteris paribus difference in salary for institutions with a median GPA different by one point? (Report your answer as a percentage.)

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