Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Heart weights of mammals Here are some data on the hearts of various mammals:

a. Make an appropriate scatterplot for predicting heart weight from length. Describe what you see.

b. Use transformations to linearize the relationship. Does the relationship between heart weight and length seem to follow an exponential model or a power model? Justify your answer.

c. Perform least-squares regression on the transformed data. Give the equation of your regression line. Define any variables you use.

d. Use your model from part (c) to predict the heart weight of a human who has a left ventricle6.8 cm long.

Short Answer

Expert verified

(a) The scatter plot slope is sloping upwards, hence the direction is positive.

(b) Power model

(c) lny=-0.314+3.139lnx

(d)299.825gms

Step by step solution

01

Part (a) Step 1: Given information

The given data is

02

Part (a) Step 2: Explanation

From the given data the graph is

The reason for the curve is that the points are not on a straight line.

The scatter plot slope is sloping upwards, hence the direction is positive.

The reason for this is that all of the points are fairly close together in the same pattern.

03

Part (b) Step 1: Given information

The given data is

04

Part (b) Step 2: Explanation

The graph is

The model with the most linear pattern in the associated scatter plot is the model for the relationship between the variables." Power Model

05

Part (c) Step 1: Given information

The given data is

06

Part (c) Step 2: Explanation

The logarithm of length is X, and the logarithm of heart weight is Y.

Find the values using the table

a=y·x2-xxynx2-x2a=-0.314

b=nxy-x·ynx2-x2b=3.139

then the value of y is

y=a+b.x

y=-0.314+3.139x

The least-square regression equation is

lny=-0.314+3.139lnx.

07

Part (d) Step 1: Given information

The given data is

08

Part (d) Step 2: Explanation

From part (c)

lny=-0.314+3.139lnx

Putting the value of x

lny=-0.314+3.139ln(6.8)

=5.7032

Therefore taking the exponential

y=elnyy=e5.7032

=299.825

The expected heart weight is299.825gms

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

A set of 10cards consists of 5red cards and 5black cards. The cards are shuffled thoroughly, and you choose one at random, observe its color, and replace it in the set. The cards are thoroughly reshuffled, and you again choose a card at random, observe its color, and replace it in the set. This is done a total of four times. Let X be the number of red cards observed in these four trials. The random variable X has which of the following probability distributions?

a. The Normal distribution with mean 2and standard deviation 1

b. The binomial distribution with n=10and p=0.5

c. The binomial distribution with n=5and p=0.5

d. The binomial distribution with n=4and p=0.5

e. The geometric distribution withp=0.5

Beer and BAC How well does the number of beers a person drinks predict his or her blood alcohol content (BAC)? Sixteen volunteers aged 21or older with an initial BAC of 0took part in a study to find out. Each volunteer drank a randomly assigned number of cans of beer. Thirty minutes later, a police officer measured their BAC. A least-squares regression analysis was performed on the data using x=number of beers and y=BAC. Here is a residual plot and a histogram of the residuals. Check whether the conditions for performing inference about the regression model are met.

Braking distance How is the braking distance for a motorcycle related to the speed at which the motorcycle was traveling when the brake was applied? Statistics teacher Aaron Waggoner gathered data to answer this question. The table shows the speed (in miles per hour) and the distance needed to come to a complete stop when the brake was applied (in feet).

Speed (mph)Distance (ft)Speed (mph)Distance (ft)61.423252.0894.924084191848110.333044.75

a. Transform both variables using logarithms. Then calculate and state the least-squares regression line using the transformed variables.

b. Use the model from part (a) to calculate and interpret the residual for the trial when the motorcycle was traveling at 48 mph.

The town council wants to estimate the proportion of all adults in their medium-sized town who favor a tax increase to support the local school system. Which of the

following sampling plans is most appropriate for estimating this proportion?

a. A random sample of 250names from the local phone book

b. A random sample of 200parents whose children attend one of the local schools

c. A sample consisting of 500people from the city who take an online survey about the issue

d. A random sample of 300homeowners in the town

e. A random sample of 100people from an alphabetical list of all adults who live in the town

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.

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