We have data on the lean body mass and resting metabolic rate for 12 women who are subjects in a study of dieting. Lean bodymass, 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.Mass 54.9 43.9 39.4 43.5 36.6 44.5 47.9 46.4 53.8 54.3 43.9 51.5Rate 990 1030 1220 1300 1460 1600 1450 1120 1280 1070 1070 1190Find the least-squares regression line for predicting metabolic rate from body mass.ANSWER:

The independent variable is lean body mass, x and the dependent variable is metabolic rate, y.

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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5 and 6. The following data was collected from 1 bag of Hershey Kisses®. Each Kiss® was weighed in grams with the wrapper and recorded in the table below. Hershey claims that there are 368 grams of chocolate in one bag. Hershey Kiss Weights in Grams 4.76 4.72 4.74 4.55 4.91 4.74 4.78 4.71 4.80 4.78 4.78 4.75 4.79 4.82 4.91 4.83 4.68 4.74 4.70 4.80 4.70 4.76 4.70 4.83 4.93 4.74 4.84 4.82 4.76 4.77 4.72 4.78 4.83 4.75 4.74 4.68 4.84 4.71 4.71 4.76 4.66 4.78 4.73 4.74 4.92 4.77 4.80 4.79 4.86 4.64 4.78 4.70 4.75 4.78 4.76 4.83 4.66 4.77 4.83 4.78 4.69 4.81 4.68 4.78 4.88 4.72 4.85 4.85 4.81 4.74 4.80 4.82 4.84 4.70 4.85 4.70 4.81 4.72 4.79 4.73 4.61 Based on Hershey's® claim for 368 total net grams of chocolate in the bag, approximately how many Kisses® too many or too few are there? Assume that the Kisses® were weighed with the wrapper, each wrapper weighs 0.12 grams, and the net grams listed on the bag are for the chocolate only. Give some possible…
Prevalence of a disease in a certain population is 5.0 / 1000. If one million people live in that population, how many have the disease?
7.38 Food intake and weight gain. If we increase our food intake, we generally gain weight. Nutrition scientists can calculate the amount of weight gain that would be associated with a given increase in calories. In one study, 16 nonobese adults, aged 25 to 36 years, were fed 1000 calories per day in excess of the calories needed to maintain a stable body weight. The subjects maintained this diet for eight weeks, so they consumed a total of 56,000 extra calories.18 According to theory, 3500 extra calories will translate into a weight gain of 1 pound. Therefore, we expect each of these subjects to gain 56,000/3500 = 16 pounds (lb). Here are the weights before and after the eight-week period, expressed in kilograms (kg): WTGAIN Subject 1 2 3 Weight before 55.7 54.9 59.6 Weight after 4 5 6 7 8 62.3 74.2 75.6 70.7 53.3 61.7 58.8 66.0 66.2 79.0 82.3 74.3 59.3 Subject 9 10 11 12 13 14 15 Weight before 73.3 63.4 68.1 73.7 91.7 55.9 61.7 Weight after 79.1 66.0 73.4 76.9 93.1 63.0 68.2 W wr ore…
e table below shows the life expectancy for an individu rs. ear of Birth Life Expectancy 930 59.7 940 62.9 950 70.2 965 69 7
3. People lose muscle mass as they age. Suppose a person lost 7% of their muscle mass between ages 50 and 60 (based on what they had at age 50) and 8% of their muscle mass from 60 to 70 (based on what they had at age 60). What percentage of the muscle mass that they had at age 50 have they lost by age 70? The following approach is INCORRECT! Explain why. The person lost 1% and then lost 8%. Since 1% + 8% =15%, they lost 15%. Explanation: Work: Answer the question, supporting your answer with work.
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7.24 Diamonds, Part I. Prices of diamonds are determined by what is known as the 4 Cs: cut, clarity, color, and carat weight. The prices of diamonds go up as the carat weight increases, but the increase is not smooth. For example, the difference between the size of a 0.99 carat diamond and a 1 carat diamond is undetectable to the naked human eye, but the price of a 1 carat diamond tends to be much higher than the price of a 0.99 diamond. In this question we use two random samples of diamonds, 0.99 carats and 1 carat, each sample of size 23, and compare the average prices of the diamonds. In order to be able to compare equivalent units, we first divide the price for each diamond by 100 times its weight in carats. That is, for a 0.99 carat diamond, we divide the price by 99. For a 1 carat diamond, we divide the price by 100. The distributions and some sample statistics are shown below.20 Conduct a hypothesis test to evaluate if there is a difference between the average standardized…
Take the following information about the theater industry. The theater seats are classified as either reserved or vacant. Among the reserved seats, 2 percent becomes vacant every period. Among the vacant seats, 8 percent become reserved periodically. What is the natural rate of seats that are vacant?
Researchers wondered whether the size of a person's brain was related to the individual's mental capacity. They selected a sample of 5 females and 5 males and measured their MRI image pixel counts and IQ scores. The data is reported to the right. Complete parts (a) through (d) below. Click the icon to view the critical values table. 1,080,000- 780,000 MRI 130 145 (a) Draw a scatter diagram treating MRI count as the explanatory variable and IQ as the response variable. Choose the correct diagram below. OA. Q Q OB. AMRI 1,080,000- 780,000 130 IQ 145 COLO Q Q SCIER O C. AIQ 145+ 130 780,000 Females MRI IQ 866,662 130 857,782 133 MRI IQ 935,494 141 1,079,550 141 852,244 132 1,001,121 140 951,545 137 955,466 133 790,619 135 1,038,438 139 MRI Males 1,080,000 C D. 145 AIQ 130- 780,000 MRI 1,080,000 Q (b) Compute the linear correlation coefficient between MRI count and IQ. Are MRI count and IQ linearly related? Select the correct choice below and, if necessary, fill in the answer box to…
Hours Spent in Child Care 5.5 11.4 2.1 11.0 7.2 5.1 9.1 10.2 2.9 8.7 10.0 9.0 9.8 9.4 3.1 8.5 9.6 10.6 7.6 8.9 10.7 6.0 0.6 3.7 9.8 3.3 3.5 5.0 3.3 10.3 7.3 6.9 6.1 4.3 0.8 6.9 8.1 1.3 1.6 9.8 Sample Size 40 Hypothesized Mean 6
A psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week. Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9 Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14 Using excel output, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to report the test statistic…

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