Chapter 1: Problem 23
Evaluate each expression without using a calculator. $$ (-8)^{2 / 3} $$
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Chapter 1: Problem 23
Evaluate each expression without using a calculator. $$ (-8)^{2 / 3} $$
These are the key concepts you need to understand to accurately answer the question.
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89-90. Some organisms exhibit a density-dependent mortality from one
generation to the next. Let \(R>1\) be the net reproductive rate (that is, the
number of surviving offspring per parent), let \(x>0\) be the density of parents
and \(y\) be the density of surviving offspring. The Beverton-Holt recruitment
curve is $$
y=\frac{R x}{1+\left(\frac{R-1}{K}\right) x}
$$
where \(K>0\) is the carrying capacity of the environment. Notice that if \(x=K\),
then \(y=K\).
Show that if \(x
$$ \begin{array}{l} \text { True or False: If } f(x)=m x+b, \text { then }\\\ f(x+h)=f(x)+m h \end{array} $$
SOCIAL SCIENCE: Health Club Attendance A recent study analyzed how the number of visits a person makes to a health club varies with the monthly membership price. It found that the number of visits per year is given approximately by \(v(x)=-0.004 x^{2}+0.56 x+42\), where \(x\) is the monthly membership price. What monthly price maximizes the number of visits?
i. Show that the general linear equation \(a x+b y=c\) with \(b \neq 0\) can be written as \(y=-\frac{a}{b} x+\frac{c}{b}\) which is the equation of a line in slope-intercept form. ii. Show that the general linear equation \(a x+b y=c\) with \(b=0\) but \(a \neq 0\) can be written as \(x=\frac{c}{a}\), which is the equation of a vertical line. [Note: Since these steps are reversible, parts (i) and (ii) together show that the general linear equation \(a x+b y=c\) (for \(a\) and \(b\) not both zero) includes vertical and nonvertical lines.]
GENERAL: Seat Belt Use Because of driver education programs and stricter laws, seat belt use has increased steadily over recent decades. The following table gives the percentage of automobile occupants using seat belts in selected years. $$ \begin{array}{lcccc} \hline \text { Year } & 1995 & 2000 & 2005 & 2010 \\ \hline \text { Seat Belt Use (\%) } & 60 & 71 & 81 & 86 \\ \hline \end{array} $$ a. Number the data columns with \(x\) -values \(1-4\) and use linear regression to fit a line to the data. State the regression formula. [Hint: See Example 8.] b. Interpret the slope of the line. From your answer, what is the yearly increase? c. Use the regression line to predict seat belt use in \(2015 .\) d. Would it make sense to use the regression line to predict seat belt use in 2025 ? What percentage would you get?
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