/*! 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. 53 53. What effect did the potentia... [FREE SOLUTION] | 91影视

91影视

Log out

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.

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

A vacation resort rents SCUBA equipment to certified divers. The resort charges an up-front fee of \(25and another fee of \)12.50an hour.

What are the dependent and independent variables?

75. The following table consists of one student athlete's time (in minutes) to swim 2000 yards and the student's heart rate (beats per minute) after swimming on a random sample of 10 days:

Swim Time
Heart Rate
34.12
144
35.72
152
34.72
124
34.05
140
34.13
152
35.73
146
36.17
128
35.57
136
35.37
144
35.57
148

a. Enter the data into your calculator and make a scatter plot.
b. Use your calculator's regression function to find the equation of the least-squares regression line. Add this to your scatter plot from part a.
c. Explain in words what the slope and y-intercept of the regression line tell us.
d. How well does the regression line fit the data? Explain your response.
e. Which point has the largest residual? Explain what the residual means in context. Is this point an outlier? An influential point? Explain.

What would you predict the sales to be on day 90?

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鈥�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?

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

Recommended explanations on Math Textbooks

Logic and Functions

Read Explanation

Calculus

Read Explanation

Applied Mathematics

Read Explanation

Discrete Mathematics

Read Explanation

Pure Maths

Read Explanation

Statistics

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.