Log out Go to App
Go to App

Learning Materials

Features

Discover

Chapter 12: Q. 53 (page 719)

53. What effect did the potential outlier have on the line of best fit?

Short Answer

Expert verified

The line of best fit will become less accurate as a result of the potential outlier.

Step by step solution

01

Concept introduction

A possible outlier remains a data point that varies immensely from the rest of the data.

02

Explanation

If any data contains a potential outlier, that prospective outlier will flatten the slope of the line of best fit since the outlier is located apart from the other data points. As a result, the line of best fit will become less accurate as a result of the probable outlier.

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.

Start your free trial

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

Use the following information to answer the next two exercises. The price of a single issue of stock can fluctuate throughout the day. A linear equation that represents the price of stock for Shipment Express is y=15–1.5xwhere xis the number of hours passed in an eight-hour day of trading.

If you owned this stock, would you want a positive or negative slope? Why?

Use the following information to answer the next five exercises. A random sample of ten professional athletes produced the following data where xis the number of endorsements the player has and yis the amount of money made (in millions of dollars).

x
y
x
y
0
2
5
12
3
8
4
9
2
7
3
9
1
3
0
3
5
13
4
10

What does an rvalue of zero mean?

Due to erosion, a river shoreline is losing several thousand pounds of soil each year. A linear equation that expresses the total amount of soil lost per year is y=12,000x

What are the independent and dependent variables?

For a given line of best fit, you compute that r=0.5204 using n=9 data points, and the critical value is 0.666. Can the line be used for prediction? Why or why not?

Table contains real data for the first two decades of flu cases reporting

Year# flu cases diagnosed# flu deathsPre-19819129198131912119821,17045319833,0761,48219846,2403,466198511,7766,878198619,03211,987198728,56416,162198835,44720,868198942,67427,591199048,63431,335199159,66036,560199278,53041,055199378,83444,730199471,87449,095199568,50549,456199659,34738,510199747,14920,736199838,39319,005199925,17418,454200025,52217,347200125,64317,402200226,46416,371Total802,118489,093

Find the correlation coefficient

correlation=______
See all solutions

Recommended explanations on Math Textbooks

Probability and Statistics

Read Explanation

Decision Maths

Read Explanation

Geometry

Read Explanation

Calculus

Read Explanation

Applied Mathematics

Read Explanation

Pure Maths

Read Explanation
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