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Boyle’s law Refers to Exercise 34. We took the logarithm (base 10) of the values for both volume and pressure. Here is some computer output from a linear regression analysis of the transformed data.


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

b. Give the equation of the least-squares regression line. Be sure to define any variables you use.

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

Short Answer

Expert verified

a). The scatter plot of log (volume) and log (pressure) is linear, and the residual figure reflects no evident remaining patterns, according to the equation.

b). The equation of the least-squares regression line is
log(pressure)=1.11116-0.81344log(volume).

c). The expected pressure is 1.28914 atm.

Step by step solution

01

Part (a) Step 1: Given Information

Given data:

02

Part (a) Step 2: Explanation

According to the equation, the scatter plot of log (volume) and log (pressure) is linear, and the residual figure shows no discernible patterns.

03

Part (b) Step 1: Given Information

Given data:

04

Part (b) Step 2: Explanation

The general regression equation is derived from the data.

log(pressure)=α+βlog(volume)

To find the α(constant) in the row "constant" and column "Coef" of the computer output.

α=1.11116

To find the β(constant) in the row " log (volume) " and column "Coef" of the computer output.

β=-0.81344

Substituting the value of αand βin the equation:

log(pressure)=α+βlog(volume)log(pressure)=1.11116-0.81344log(volume)

05

Part (c) Step 1: Given Information

Given data:

06

Part (c) Step 2: Explanation

The equation of the least-squares regression line is

log(pressure)=1.11116-0.81344log(volume)

Calculate by multiplying the volume amount by 17:

log(pressure)=1.11116-0.81344log(17)

log(pressure)=0.1103

Using the exponential with a value of 10:

pressure=10log(pressure)

=100.1103

=1.28914

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Most popular questions from this chapter

Tattoos: What per cent of U.S. adults have one or more tattoos? The Harris Poll conducted an online survey of 2302adults and found 29% of respondents had at least 1 tattoo. According to the published report, “Respondents for this survey were selected from among those who have agreed to participate in Harris Interactive surveys.” Explain why it would not be appropriate to use these data to construct a 95% confidence interval for the proportion of all U.S. adults who have tattoos.

Of the 98teachers who responded, 23.5%said that they had one or more tattoos.

a. Construct and interpret a 95%confidence interval for the true proportion of all teachers at the AP institute who would say they have tattoos.

b. Does the interval in part (a) provide convincing evidence that the proportion of all teachers at the institute who would say they have tattoos is different from 0.29. (the value cited in the Harris Poll report)? Justify your answer.

c. Two of the selected teachers refused to respond to the survey. If both of these teachers had responded, could your answer to part (b) have changed? Justify your answer.

The school board in a certain school district obtained a random sample of 200residents and asked if they were in favor of raising property taxes to fund the hiring of more statistics teachers. The resulting confidence interval for the true proportion of residents in favor of raising taxes was (0.183,0.257). Which of the following is the margin of error for this confidence interval?

a. 0.037

b. 0.074

c. 0.183

d. 0.220

e.0.257

About 1100high school teachers attended a weeklong summer institute for teaching AP Statistics classes. After learning of the survey described in Exercise 56, the teachers in the AP Statistics class wondered whether the results of the tattoo survey would be similar for teachers. They designed a survey to find out. The class opted to take a random sample of 100teachers at the institute. One of the first decisions the class had to make was what kind of sampling method to use.

a. They knew that a simple random sample was the “preferred” method. With 1100teachers in 40different sessions, the class decided not to use an SRS. Give at least two reasons why you think they made this decision.

b. The AP Statistics class believed that there might be systematic differences in the proportions of teachers who had tattoos based on the subject areas that they taught. What sampling method would you recommend to account for this possibility? Explain a statistical advantage of this method over an SRS.

Sam has determined that the weights of unpeeled bananas from his local store have a mean of116grams with a standard deviation of 9grams. Assuming that the distribution of weight is approximately Normal, to the nearest gram, the heaviest 30%of these bananas weigh at least how much?

a.107g

b.121g

C.111g

d.125g

e.116g

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