Suppose that a random sample of 194 twenty-year-old men is selected from a population and that their heights andweights are recorded. A regression of weight on height yieldsWeight = (-96.4277)+ 3.8218 × Height, R² = 0.786, SER = 9.8940(2.0855) (0.3007)where Weight is measured in pounds and Height is measured in inches.A man has a late growth spurt and grows 1.4550 inches over the course of a year. Construct a confidence interval of95% for the person's weight gain.The 95% confidence interval for the person's weight gain is (,) (in pounds). (Round your responses to twodecimal places.)

Answered: Image /qna-images/answer/554db1bb-3a7c-4098-88e3-c2e0badd3922.jpg

Answered: Suppose that weights are recorded. A…

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter4: Linear Functions

Section: Chapter Questions

Problem 30PT: For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or...

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What does the y -intercept on the graph of a logistic equation correspond to for a population modeled by that equation?
Respiratory Rate Researchers have found that the 95 th percentile the value at which 95% of the data are at or below for respiratory rates in breath per minute during the first 3 years of infancy are given by y=101.82411-0.0125995x+0.00013401x2 for awake infants and y=101.72858-0.0139928x+0.00017646x2 for sleeping infants, where x is the age in months. Source: Pediatrics. a. What is the domain for each function? b. For each respiratory rate, is the rate decreasing or increasing over the first 3 years of life? Hint: Is the graph of the quadratic in the exponent opening upward or downward? Where is the vertex? c. Verify your answer to part b using a graphing calculator. d. For a 1- year-old infant in the 95 th percentile, how much higher is the walking respiratory rate then the sleeping respiratory rate? e. f.
Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to 2012. a. Let x represent time in years starting with x=0 for the year 1997. Let y represent the number of seals in thousands. Use logistic regression to fit a model to these data. b. Use the model to predict the seal population for the year 2020. c. To the nearest whole number, what is the limiting value of this model?
Table 2 shows a recent graduate’s credit card balance each month after graduation. a. Use exponential regression to fit a model to these data. b. If spending continues at this rate, what will the graduate’s credit card debt be one year after graduating?
For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or older who are college graduates in a particular city, by year. Based on the set of data given in Table 5, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient. Round to three decimal places of accuracy
Suppose that a random sample of 212 twenty-year-old men is selected from a population and that their heights and weights are recorded. A regression of weight on height yields Weight = (-105.3746) + 4.1764 x Height, R = 0.859, SER = 10.8120 where Weight is measured in pounds and Height is measured in inches. %3D (2.2790 ) (0.3286) A man has a late growth spurt and grows 1.5900 inches over the course of a year. Construct a confidence interval of 80% for the person's weight gain. The 80% confidence interval for the person's weight gain is (in pounds). (Round your responses to two decimal places.) Enter your answer in each of the answer boxes. O Type here to search CAILL inse end F12 home prt sc F10 F11 F7 F8 F9
Run a regression of the logarithm of average hourly earnings, ln(wage) on educ, exper, exper2, female, married and numdep. Discuss the statistical significance of each of the slope coefficients and interpret the coefficient on female and married.
A regression of the amount of calories in a serving of breakfast cereal vs. the amount of fat in the cereal gave the following results: Calories = 97.1053 + 9.6525*(grams of fat). Which of the following is FALSE: It is estimated that for every additional gram of fat in the cereal, the number of calories increases by about 9. It is estimated that in cereals with no fat, the total amount of calories is about 97. If a cereal has 2 g of fat, then it is estimated that the total number of calories is about 113. If a cereal has about 145 calories, then this equation indicates that it has about 5 grams of fat. One cereal has 140 calories and 5 g of fat. Its residual is about 5 cal.
A regression of the LDL cholesterol level on the Body Mass Index (BMI) is shown below:LDL Cholesterol Level = 133.19 + 0.4151*BMI. Which of the following is FALSE? It is estimated that for every additional unit of BMI, the Level of LDL Cholesterol increases by about 0.4. It is estimated that for the person with zero BMI, the LDL Cholesterol Level is about 133. If one person has BMI of 20, then it is estimated that the LDL Cholesterol Level is about 141. If the LDL Cholesterol Level of one person is 145, then this equation indicates that this person’s BMI is about 30. One person’s LDL Cholesterol Level is 143 and BMI is 25. Its residual is about 5.
Suppose that a random sample of 200 twenty-year-old men is selected from a population and that these men's height and weight are recorded. A regression of weight on height yields Weight= (-101.3982)+ 4.0188 x Height, R = 0.83, SER = 10.4, where Weight is measured in pounds and Height is measured in inches. What is the regression's weight prediction for someone who is 71 inches tall? The regression's weight prediction for someone who is 71 inches tall is pounds. (Round your response to two decimal places.) A man has a late growth spurt and grows 1.2 inches over the course of a year. What is the regression's prediction for the increase in this man's weight? The regression's prediction for the increase in this man's weight is I pounds. (Round your response to two decimal places.) Suppose that instead of measuring weight and height in pounds and inches these variables are measured in centimeters and kilograms (1 in = 2.54 cm and 1 lb = 0.4536 kg). Suppose the regression equation in…
A regression was run to determine if there is a relationship between the happiness inde expectancy in years of a given country (x). The results of the regression were: ŷ=a+bx a=-1.042 b=0.186

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