Based on the following regression equation of teenage BMI, which one is the estimated BMI for a teenage male (male: gender=0; female: gender=1) who watches 8 hours of TV per day, eats 6 meals per day, and whose mother's BMI is 17? BMI = 3.5 + 1.01 * Gender + 1.03 * TV/day + 1.02 * Meals/day + 0.9 * MotherBMI

Based on the following regression equation of teenage BMI, which one is the estimated BMI for a teenage male (male: gender=0; female: gender=1) who watches 8 hours of TV per day, eats 6 meals per day, and whose mother's BMI is 17? BMI = 3.5 + 1.01 * Gender + 1.03 * TV/day + 1.02 * Meals/day + 0.9 * MotherBMI

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)

6th Edition

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Bruce Crauder, Benny Evans, Alan Noell

Chapter5: A Survey Of Other Common Functions

Section5.6: Higher-degree Polynomials And Rational Functions

Problem 1TU: The following fictitious table shows kryptonite price, in dollar per gram, t years after 2006. t=...

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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?
The following fictitious table shows kryptonite price, in dollar per gram, t years after 2006. t= Years since 2006 0 1 2 3 4 5 6 7 8 9 10 K= Price 56 51 50 55 58 52 45 43 44 48 51 Make a quartic model of these data. Round the regression parameters to two decimal places.
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?
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Question 3. Calculate and interpret the regression line for the data.
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