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North American population growth Many populations grow exponentially. Here are the data for the estimated population of North America (in millions) from 1700to 2012. The dates are recorded as years since 1700so that x=312is the year 2012.

year since1700population (in millions)025021007150262008225017229930730833731035131225

a. Use a logarithm to transform population size. Then calculate and state the least-squares regression line using the transformed variable.

b. Use your model from part (a) to predict the population size of North America in2020.

Short Answer

Expert verified

a). The least-squares regression line using the transformed variable is logy=0.1565+0.0079x.

b). The expected size of North America in 2020 is 483.615 million.

Step by step solution

01

Part (a) Step 1: Given Information

Given data:

year since1700population (in millions)0250210071502620017225030729933730834531035131232

02

Part (a) Step 2: Explanation

Log of given data:

year since1700population (in millions)log(population)020.3010299965020.30102999610070.84509804150261.414973348200821.9138138522503072.2355284472993372.4871383753083452.5276299013103512.5378190953122.545307116

Making use of a Ti83/84 calculator

Step 1: Select STAT;

Step 2: Select 1: EDIT

Step 3: Type the data for each year since 1700in list L1 and the population logarithmic in list L2.

Step 4: Hit STAT once more, select CALC, and then LinReg(a+bx).

03

Part (a) Step 3: Explanation

The required result:

y=a+bx

a=0.1565

b=0.0079

Substituting the value in aand b:

y=0.1565+0.0079x

Since 1700, xdenotes the year, while yis the population logarithm.

logy=0.1565+0.0079x
04

Part (b) Step 1: Given Information

Given data:

year since1700population (in millions)025021007150262008225017229930730833731035131225

05

Part (b) Step 2: Explanation

Substituting the value xby 320:

logy=0.1565+0.0079x

logy=0.1565+0.0079(320)

logy=2.6845

Using the exponential function with a base of ten

y=1012.6845

=102.6845

=483.615

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Most popular questions from this chapter

Section I: Multiple ChoiceChoose the best answer for Questions AP4.1โ€“AP4.40.
AP4.1 A major agricultural company is testing a new variety of wheat to determine whether it is more resistant to certain insects than the current wheat variety. The proportion of a current wheat crop lost to insects is 0.04. Thus, the company wishes to test the following hypotheses:
H0:p=0.04

Ha:p<0.04

Which of the following significance levels and sample sizes would lead to the highest power for this test?
a. n=200 and ฮฑ=0.01
b. n=400and ฮฑ=0.05
c.n=400and ฮฑ=0.01
d. n=500and ฮฑ=0.01
e. n=500 and ฮฑ=0.05

Which of the following statements about the t distribution with degrees of freedom dfis (are) true?

I. It is symmetric.

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a. I only

b. II only

c. III only

d. I and III

e. I, II, and III

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a. Based on the output, explain why it would be reasonable to use a power model to describe the relationship between pressure and volume.

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Determining tree biomass It is easy to measure the diameter at breast height (in centimeters) of a tree. Itโ€™s hard to measure the total aboveground biomass (in kilograms) of a tree because to do this, you must cut and weigh the tree. Biomass is important for studies of ecology, so ecologists commonly estimate it using a power model. The following figure is a scatterplot of the natural logarithm of biomass against the natural logarithm of diameter at breast height (DBH) for 378trees in tropical rain forests. The least-squares regression line for the transformed data is lnyโˆง=-2.00+2.42lnxโˆงlny^=-2.00+2.42lnx^

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Does how long young children remain at the lunch table help predict how much they eat? Here are data on a random sample of 20toddlers observed over several months. โ€œTimeโ€ is the average number of minutes a child spent at the table when lunch was served. โ€œCaloriesโ€ is the average number of calories the child consumed during lunch, calculated from careful observation of what the child ate each day.


Here is some computer output from a least-squares regression analysis of these data. Do these data provide convincing evidence at the ฮฑ=0.01ฮฑ=0.01level of a linear relationship between time at the table and calories consumed in the population of toddlers?


PredictorCoefSECoefTPConstant560.6529.3719.090.000Timeโˆ’3.07710.8498โˆ’3.620.002S=23.3980R-Sq=42.1%R-Sq(adj)=38.9%

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