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

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

SAT Math scores Is there a relationship between the percent of high school graduates in each state who took the SAT and the state’s mean SAT Math score? Here is a residual plot from a linear regression analysis that used data from all 50states in a recent year. Explain why the conditions for performing inference about the slope β1 of the population regression line are not met.

The students in Mr. Shenk’s class measured the arm spans and heights (in inches) of a random sample of 18students from their large high school. Here is computer output from a least-squares regression analysis of these data. Construct and interpret a 90%confidence interval for the slope of the population regression line. Assume that the conditions for performing inference are met.

PredictorCoefStdevt-ratioPConstant11.5475.6002.060.056Armspan0.840420.0809110.390.000S=1.613R-Sq=87.1%R-Sq(adj)=86.3%

Boyle's law If you have taken a chemistry or physics class, then you are probably familiar with Boyle's law: for gas in a confined space kept at a constant temperature, pressure times volume is a constant (in symbols, PV=kPV=k). Students in a chemistry class collected data on pressure and volume using a syringe and a pressure probe. If the true relationship between the pressure and volume of the gas is PV=k,PV=k, then

P=k1VP=k1V

Here is a graph of pressure versus a volume, 1volume, along with output from a linear regression analysis using these variables:

a. Give the equation of the least-squares regression line. Define any variables you use.

b. Use the model from part (a) to predict the pressure in the syringe when the volume is 17cubic centimeters.

Can physical activity in youth lead to mental sharpness in old age? A 2010study investigating this question involved9344randomly selected, mostly white women over age 65from four U.S. states. These women were asked about their levels of physical activity during their teenage years, 30s,50 s, and later years. Those who reported being physically active as teens enjoyed the lowest level of cognitive decline-only 8.5% had cognitive impairment-compared with 16.7% of women who reported not being physically active at that time.
(a) State an appropriate pair of hypotheses that the researchers could use to test whether the proportion of women who suffered a cognitive decline was significantly smaller for women who were physically active in their youth than for women who were not physically active at that time. Be sure to define any parameters you use.
(b) Assuming the conditions for performing inference are met, what inference method would you use to test the hypotheses you identified in part (a)? Do not carry out the test.
(c) Suppose the test in part (b) shows that the proportion of women who suffered a cognitive decline was significantly smaller for women who were physically active in their youth than for women who were not physically active at that time. Can we generalize the results of this study to all women aged65 and older? Justify your answer.
(d) We cannot conclude that being physically active as a teen causes a lower level of cognitive decline for women over 65, due to possible confounding with other variables. Explain the concept of confounding and give an example of a potential confounding variable in this study.

Pencils and GPA Is there a relationship between a student’s GPA and the number of pencils in his or her backpack? Jordynn and Angie decided to find out by selecting a random sample of students from their high school. Here is computer output from a least-squares regression analysis using x=number of pencils and y=GPA:

Is there convincing evidence of a linear relationship between GPA and number of pencils for students at this high school? Assume the conditions for inference are met.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free