/*! 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. 6 One of nature鈥檚 patterns conne... [FREE SOLUTION] | 91影视

91影视

One of nature鈥檚 patterns connects the percentage of adult birds in a colony that return from the previous year and the number of new adults that join the colony. Here are data for 13colonies of sparrow-hawks:

Make a scatterplot by hand that shows how the number of new adults relates to the percentage of returning birds.

Short Answer

Expert verified

The scatter plot is:

Step by step solution

01

Given Information

Given in the question that the data for 13colonies of sparrow-hawks.

We have to make a scatterplot by hand

02

Explanation

The association between two quantitative variables recorded on the same individuals is depicted by a scatterplot. The horizontal axis displays the values of one variable, while the vertical axis displays the values of the other variable. Each person in the data is represented by a point on the graph.

On the horizontal axis, we can show the Percent return, and on the vertical axis, we may draw the New adults.

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 91影视!

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

If women always married men who were 2years older than themselves, what would the correlation between the ages of husband and wife be?

(a)2 (c) 0.5 (e) Can鈥檛 tell without

(b)1 (d) 0 seeing the data

Least-squares idea The table below gives a small set of data. Which of the following two lines 铿乼s the data better: y^=1xory^=32x? Make a graph of the data and use it to help justify your answer. (Note: Neither of these two lines is the least-squares regression line for these data.)

Some data were collected on the weight of a male white laboratory rat for the first 25 weeks after its birth. A scatterplot of the weight (in grams) and time since birth (in weeks) shows a fairly strong, positive linear relationship. The linear regression equation weight = 100 + 40(time) models the data fairly well.

2. What鈥檚 the y intercept? Explain what it means in context.

Bird colonies Exercise 6examined the relationship between the number of new birds y and per cent of returning birds xfor 13sparrowhawk colonies. Here are the data once again

(a) Enter the data into your calculator and make a scatterplot.

(b) Use your calculator鈥檚 regression function to find the equation of the least-squares regression line. Add this line to your scatterplot from (a).

(c) Explain in words what the slope and y-intercept of the regression line tell us.

(d) An ecologist uses the line to predict how many birds will join another colony of sparrowhawks and to which60% of the adults from the previous year return. What鈥檚 the prediction?

Strong association but no correlation The gas mileage of an automobile first increases and then decreases as the speed increases. Suppose that this relationship is very regular, as shown by the following data on speed (miles per hour) and mileage (miles per gallon). Make a scatterplot of mileage versus speed.

The correlation between speed and mileage isr=0. Explain why the correlation is 0 even though there is a strong relationship between speed and mileage.

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.