5) Caffeine can raise blood pressure and affect driving ability.Suppose that the legal limit to drive is a blood caffeine content of 0.08.Using the regression equation below, if John.consumes 3 energy drinks. We would predict him to beY' = 0.018x + 0.0079O 0.0181 above the legal limitO 0.0619 above the legal limitO 0.0181 below the legal limitO 0.0619 below the legal limit

Given that Regression equation y=0.018x+0.0079 Legal limit=0.08 At X=3

Answered: Caffeine can raise blood pressure and…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 17HP

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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?
What is the y -intercept on the graph of the logistic model given in the previous exercise?
Does a linear, exponential, or logarithmic model best fit the data in Table 2? Find the model.
bThe average rate of change of the linear function f(x)=3x+5 between any two points is ________.
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Life Expectancy The following table shows the average life expectancy, in years, of a child born in the given year42 Life expectancy 2005 77.6 2007 78.1 2009 78.5 2011 78.7 2013 78.8 a. Find the equation of the regression line, and explain the meaning of its slope. b. Plot the data points and the regression line. c. Explain in practical terms the meaning of the slope of the regression line. d. Based on the trend of the regression line, what do you predict as the life expectancy of a child born in 2019? e. Based on the trend of the regression line, what do you predict as the life expectancy of a child born in 1580?2300
The US. import of wine (in hectoliters) for several years is given in Table 5. Determine whether the trend appearslinear. Ifso, and assuming the trend continues, in what year will imports exceed 12,000 hectoliters?
= In a statistics course, a linear regression equation was computed to predict the final-exam score from the score on the first test. The equation as y 10+ 0.75x where y is the final-exam score and x is the score on the first test. Parvez scored 80 on the first test. What is the predicted value of the Parvez's score on the final exam? Parvez scored 60 on the final exam. What is the value of the residual?
The regression model y = 5.5(1.025)* represents the number of items sold in millions (y) by a company each year (x) after 2010. Select all of the appropriate statements that apply to the model. O The number of items sold each year grows by 2.5%. O There were originally 550,000 items sold. O There were approximately 4.3 million items sold in 2000. O There will be approximately 7 million items sold in 2020. O There will be approximately 8 million items sold in 2030.
Life expectancy at birth is the estimated lifespan of a baby born in a particular year given the conditions of that time period. The regression line is y=0.205x-336, where x=birth year and y=US life male expectancy in years. The value of r2 is 0.981 a. use the regression line to estimate the US life expetancy of a male baby born in 1990, to the nearest tenth of a year. b. use the regression line to predict the US life expectancy of a male baby born in 2014, to the nearest tenth of a year. c. what is the slope regression line and what are the units of measurement?
How would I complete this problem? I'm not sure how to get it started. Thank you.

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