/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q.36 Boyle’s law Refers to Exercise... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Boyle’s law Refers to Exercise 34. Here is Minitab output from separate regression analyses of the two sets of transformed pressure data:

Do each of the following for both transformations.

(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 17 cubic centimeters. Show your work.

(c) Interpret the value of s in context.

Short Answer

Expert verified

a)Transformation1:P^ressure=0.36774+15.8994×1Volume

localid="1650532036483">Transformation2:1P^ressure=-0.15465+0.042836×Volume

b). Transformation 1:1.303.

Transformation 2:1.287.

c). Transformation 1:The expected error from the prediction of the pressure is 0.044205.

Transformation 2:The expected error from the prediction of the reciprocal of the pressure is 0.00398119.

Step by step solution

01

Part (a) Step 1: Given Information

02

Part (a) Step 2: Explanation

For transformation 1 :

Thus, the general equation of the regression equation is as:

P^ressure=a+b×1Volume

Thus, the value of the slope and the constant is given in the computer output as:

a=0.36774

b=15.8994

Thus, the regression equation is as follows:

localid="1650605639483" P^ressure=a+b×1Volume

⇒P^ressure=0.36774+15.8994×1Volume

03

Part (a) Step 3: Explanation

For transformation 2:

Thus, the general equation of the regression equation is as:

localid="1650605182361" 1P^ressure=a+b×Volume

Thus, the value of the slope and the constant is given in the computer output as:

a=0.100170

b=0.0398119

Thus, the regression equation is as follows:

localid="1650605211910" 1P^ressure=a+b×Volume

localid="1650605239139" ⇒1P^ressure=-0.15465+0.042836×Volume

04

Part (b) Step 4: Given Information

05

Part (b) Step 5: Explanation

We need to find out the period of a pendulum with the length 80centimeters using the part (a) as:

For transformation 1:

Thus, the regression equation is as follows:

localid="1650605657560" P^ressure=a+b×1Volume

localid="1650605667747" ⇒P^ressure=0.36774+15.8994×1Volume

Then by evaluating we have,

localid="1650605678029" P^ressure=a+b×1Volume

⇒P^ressure=0.36774+15.8994×1Volume

=0.36774+15.8994×17

=1.303

06

Part (b) Step 6: Explanation

For transformation 2 :

Thus, the regression equation is as follows:

1P^ressure=a+b×Volume⇒1P^ressure=-0.15465+0.042836×Volume

Then by evaluating we have,

1P^ressure=a+b×Volume

⇒1P^ressure=-0.15465+0.042836×Volume

⇒1P^ressure=-0.15465+0.042836×17

⇒1P^ressure=0.7769723

⇒P^ressure=10.7769723

⇒P^ressure=1.287

07

Part (c) Step 7: Given Information

08

Part (c) Step 8: Explanation

We need to interpret the value of sin this context. Thus, we have,

For transformation 1:

Thus, the regression equation is as follows:

localid="1650605513602" P^ressure=a+b×1Volume

⇒P^ressure=0.36774+15.8994×1Volume

And the value of sis given as,

s=0.044205

This means that the expected error from the prediction of the pressure is 0.044205.

09

Part (c) Step 9: Explanation

For transformation 2 :

Thus, the regression equation is as follows:

1P^ressure=a+b×Volume

⇒1P^ressure=-0.15465+0.042836×Volume

And the value of sis given as,

s=0.00398119

This means that the expected error from the prediction of the reciprocal of the pressure is 0.00398119.

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 91Ó°ÊÓ!

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

Foresters are interested in predicting the amount of usable lumber they can harvest from various tree species. They collect data on the diameter at breast height (DBH) in inches and the yield in board feet of a random sample of 20Ponderosa pine trees that have been harvested. (Note that a board foot is defined as a piece of lumber 12inches by 12inches by 1inch.) A scatterplot of the data is shown below

(a) Some computer output and a residual plot from a least squares regression on these data appear below. Explain why a linear model may not be appropriate in this case.

(B) Use both models to predict the amount of usable lumber from a Ponderosa pine with diameter 30inches. Show your work.

(c) Which of the predictions in part (b) seems more reliable? Give appropriate evidence to support your choice.

The swinging pendulum Mrs. Hanrahan’s precalculus class collected data on the length (in centimeters) of a pendulum and the time (in seconds) the pendulum took to complete one back-and-forth swing (called its period). Here are their data:

(a) Make a reasonably accurate scatterplot of the data by hand, using length as the explanatory variable. Describe what you see. (b) The theoretical relationship between a pendulum’s length and its period is

period=2Ï€glength

where gis a constant representing the acceleration due to gravity (in this case, g=980cm/s2). Use the graph below to identify the transformation that was used to linearize the curved pattern in part (a).

(c) Use the following graph to identify the transformation that was used to linearize the curved pattern in part (a).

The slope β of the population regression line describes

(a) the exact increase in the selling price of an individual unit when its appraised value increases by \(1000

(b) the average increase in the appraised value in a population of units when the selling price increases by \)51000.

(c) the average increase in selling price in a population of units when the appraised value increases by \( 1000.

(d) the average selling price in a population of units when a unit's appraised value is 0.

(e) the average increase in appraised value in a sample of 16 units when the selling price increases by \) 1000.

The following back-to-back stem plots compare the ages of players from two minor-league hockey teams(1|7=17Years)

Which of the following cannot be justified from the plots?

(a) Team Ahas the same number of players in their 30sas does Team B.

(b) The median age of both teams is the same.

(c) Both age distributions are skewed to the right.

(d) The age ranges of both teams are similar.

(e) There are no outliers by the 1.51QRrule in either distribution.

The table below provides data on the political affiliation and opinion about the death penalty of 850randomly selected voters from a congressional district.

Which of the following does not support the conclusion that being a Republican and favoring the death penalty are not independent?

(a) 299494≠98356 (d) 299397≠77248

(b) 299494≠397850 (e) 397494850≠299

(c)494850≠299397

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.