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T12.10We record data on the population of a particular country from 1960 to 2010. A
scatterplot reveals a clear curved relationship between population and year. However, a different scatterplot reveals a strong linear relationship between the logarithm (base 10) of the population and the year. The least-squares regression line for the transformed data is
log(population)=^13.5+0.01(year)
Based on this equation, which of the following is the best estimate for the population of the country in the year 2020?
a. 6.7
b. 812
c. 5,000,000
d. 6,700,000
e. 8,120,000

Short Answer

Expert verified

The correct answer is option (c) 5,000,000.

Step by step solution

01

Given information

To determine the best estimate for the population of the country in the year 2020.

02

Explanation

A scatterplot shows that the population and year have a clear curving relationship. A separate scatterplot, on the other hand, displays a significant linear link between the population logarithm and the year.
The following is the linear regression line:
ln(P~opulation)=-13.5+0.01(Year)
By 2020, the year will be replaced, and it will be:
ln(P~opulation)=-13.5+0.01(Year)
ln(Population)=-13.5+0.01(2020)
=6.7
Take each side's exponential:
Population=106.7
=5011872
5000000
As a result, option (c)5000000 is the correct option.

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Most popular questions from this chapter

Insurance adjusters are always concerned about being overcharged for accident repairs. The adjusters suspect that Repair Shop1quotes higher estimates than Repair Shop2. To check their suspicion, the adjusters randomly select 12cars that were recently involved in an accident and then take each of the cars to both repair shops to obtain separate estimates of the cost to fix the vehicle. The estimates are given in hundreds of dollars.

Assuming that the conditions for inference are met, which of the following significance tests should be used to determine whether the adjusters’ suspicion is correct?

a. A pairedt test

b. A two-sample ttest

c. A t test to see if the slope of the population regression line is0

d. A chi-square test for homogeneity

e. A chi-square test for goodness of fit

After a name-brand drug has been sold for several years, the Food and Drug Administration (FDA) will allow other companies to produce a generic equivalent. The FDA will permit the generic drug to be sold as long as there isn't convincing evidence that it is less effective than the name-brand drug. For a proposed generic drug intended to lower blood pressure, the following hypotheses will be us

where

μG=true mean reduction in blood pressureusing the generic drug μG=true mean reduction in blood pressureusing the name@brand drug

μG=true mean reduction in blood pressure

using the generic drug

μG=true mean reduction in blood pressure

using the name@brand drug

In the context of this situation, which of the following describes a Type I error?

a. The FDA finds convincing evidence that the generic drug is less effective, when in reality it is less effective.

b. The FDA finds convincing evidence that the generic drug is less effective, when in reality it is equally effective.

c. The FDA finds convincing evidence that the generic drug is equally effective, when in reality it is less effective.

d. The FDA fails to find convincing evidence that the generic drug is less effective, when in reality it is less effective.

e. The FDA fails to find convincing evidence that the generic drug is less effective, when in reality it is equally effective.

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. “Time” is the average number of minutes a child spent at the table when lunch was served. “Calories” 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 α=0.01α=0.01level of a linear relationship between time at the table and calories consumed in the population of toddlers?


PredictorCoefSECoefTPConstant560.6529.3719.090.000Time3.07710.84983.620.002S=23.3980R-Sq=42.1%R-Sq(adj)=38.9%

The professor swims Here are data on the time (in minutes) Professor Moore takes to swim 2000yards and his pulse rate (beats per minute) after swimming on a random sample of 23days:

Is there convincing evidence of a negative linear relationship between Professor Moore’s swim time and his pulse rate in the population of days on which he swims2000yards?

A study of road rage asked random samples of 596men and 523women about their behavior while driving. Based on their answers, each respondent was assigned a road rage score on a scale of 0-20. The respondents were chosen by random-digit dialing of telephone numbers. Are the conditions for inference about a difference in means satisfied?

a. Maybe; the data came from independent random samples, but we should examine the data to check for Normality.

b. No; road rage scores on a scale of 0-20can’t be Normal.

c. No; a paired t-test should be used in this case.

d. Yes; the large sample sizes guarantee that the corresponding population distributions will be Normal.

e. Yes; we have two independent random samples and large sample sizes, and the10% condition is met.

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