We have data on the lean body mass and resting metabolic rate for 12 women who are subjects in a study of dieting. Lean body mass,given in kilograms, is a person's weight leaving out all fat. Metabolic rate, in calories burned per 24 hours, is the rate at which thebody consumes energy.Mass46 47.7 47.7 38.8 52.1 48.8 48.5 36.8 42 51 43.9 46.7Rate 1240 1320 1220 1280 1430 1090 1590 990 1090 960 1520 1390|Find the least-squares regression line for predicting metabolic rate from body mass.ANSWER: ŷ

In the question, given that:The question's purpose is to determine the least-square regression line.

Answered: We have data on the lean body mass and…

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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Eyeglassomatic manufactures eyeglasses for different retailers. They test to see how many defective lenses they made the time period of January 1 to March 31. The table gives the defect and the number of defects. Do the data support the notion that each defect type occurs in the same proportion? Test at the 5% level. Number of Defective Lenses Defect type Number of defects Scratch 1866 Right shaped - small 1935 Flaked 1979 Wrong axis 1921 Chamfer wrong 1864 Crazing, cracks 1991 Wrong shape 2004 Wrong PD 1895 Spots and bubbles 1917 Wrong height 1885 Right shape - big 1875 Lost in lab 1886 Spots/bubble - intern 1935 State the hypotheses.H0: Each defect type in the same proportion.Ha: Each defect type in the same proportion. Calculate the χ2 test statistic. Round expected values to two decimal places. Round χ2 to three decimal places.χ2 = Calculate the p-value. Round to four decimal places.p-value = State your decision.Since p-value 0.05,…
Breast feeding sometimes results in a temporary loss of bone mass as calcium is depleted in the mother's body to provide for milk production. An investigation gave the following data on total body bone mineral content (g) for a sample of mothers both during breast feeding (B) and in the postweaning period (P). B 2 3 4 5 6 7 8 9 10 2368 2181 2007 2362 2684 2671 2142 2774 2097 2540 2447 2354 2195 2500 2745 2858 2243 2824 2297 2668 P Do the data suggest that true average total body bone mineral content during postweaning exceeds that during breast feeding by more than 25 g? State and test the appropriate hypotheses using a significance level of 0.05. (Use a statistical computer package to calculate the P-value. Use μp - μg. Round your test statistic to two decimal places and your p-value to three decimal places.) 5.70 df = 9 P-value = 0.000 Subject 1 Conclusion O Fail to reject Ho. Reject Ho
The mass of a whiffle ball varies, usually between 40 and 50 grams. You decide to gather a random sample of whiffle balls and record the mass of each. Your data is displayed in the table below. (Units are grams.) 39.1 43.3 40.1 45.5 41.7 45.3 42.2 45.3 44.3 39.3 46.2 40.6 41.4 48.3 49.2 44.5 Checksum: 786.5 a) mean 47.6 You would like to describe a "typical" whiffle ball from your data set. You decide to make several calculations describing the "center" of the data set. Find the following: b) median 42.6
Shelia’s doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if her glucose level is above 136 milligrams per deciliter (mg/dl) one hour after ingesting a sugary drink. Shelia’s measured glucose level one hour after the sugary drink varies according to the Normal distribution with μ = 125 mg/dl and σ = 11 mg/dl. a)What are the mean and standard deviation of the distribution of sample proportion if measurements are made instead on 40 separate days? b)If measurements are made on 40 separate days and the mean result is compared with the criterion 140 mg/dl, what is the probability that Shelia is diagnosed as having gestational diabetes? c)Let’s consider what could happen if we took 40 separate measurements from Shelia. What is the blood glucose level L such that the probability…
We have data on the lean body mass and resting metabolic rate for 12 women who are subjects in a study of dieting. Lean body mass, given in kilograms, is a person's weight leaving out all fat. Metabolic rate, in calories burned per 24 hours, is the rate at which the body consumes energy. Mass 54.9 43.9 39.4 43.5 36.6 44.5 47.9 46.4 53.8 54.3 43.9 51.5 Rate 990 1030 1220 1300 1460 1600 1450 1120 1280 1070 1070 1190 Find the least-squares regression line for predicting metabolic rate from body mass. ANSWER:
Full data set O Uncarpeted 13.2 A researcher wanted to determine if carpeted rooms contain more bacteria than uncarpeted rooms. The table shows the results for the number of bacteria per cubic foot for both types of rooms. Carpeted 10.7 14.3 11 6.7 12.8 10 8.4 12.2 9.2 11.1 6.7 11.3 14.1 13.6 8.9 Determine whether carpeted rooms have more bacteria than uncarpeted rooms at the g = 0.05 level of significance. Normal probability plots indicate that the data are approximately normal and boxplots indicate that there are no outliers. State the null and alternative hypotheses. Let population 1 be carpeted rooms and population 2 be uncarpeted rooms. A. Ho: H1 = H2 H1: 41> H2 O B. Ho: H1 = H2 O C. Ho: H1 = H2 H1: H1 H2 Determine the P-value for this hypothesis test. P-value = (Round to three decimal places as needed.)
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Quiz vs Lecture Pulse Rates Do you think your pulse rate is higher when you are taking a quiz than when you are sitting in a lecture? The data in Table 1 show pulse rates collected from 10 students in a class lecture and then from the same students during a quiz. The data are stored in QuizPulse10. Std. Student 1 2 4 6 7 8. 9. 10 Мean Dev. Quiz 75 52 52 80 56 90 76 71 70 66 68.8 12.5 Lecture 73 53 47 88 55 70 61 75 61 78 66.1 12.8 Table 1 Quiz and lecture pulse rates for 10 students Construct a 95% confidence interval for the difference in mean pulse rate between students taking a quiz and sitting in a class lecture. Click here for the dataset associated with this question. Round your answers to one decimal place. The 95% confidence interval is i to i
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We have data on the lean body mass and resting metabolic rate for 12 women who are subjects in a study of dieting. Lean body mass, given in kilograms, is a person's weight leaving out all fat. Metabolic rate, in calories burned per 24 hours, is the rate at which the body consumes energy. Mass 40.5 37.9 54 50.8 48.9 51.9 52.3 36.7 37.3 44.7 37.6 46.7 Rate 1380 1560 980 1170 1230 1240 1480 1560 1440 1130 1570 1490 Find the least-squares regression line for predicting metabolic rate from body mass.ANSWER: y^=
The table below shows the weight of 30 grade 10 students. Show your complete solution. II. Weight (in kg) Number of Cumulative Frequency Students 31 - 40 2 41 - 50 51 - 60 14 61 - 70 71 - 80 81 - 90 a. What is the 3rd quartile? b. What is the 4th decile?

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