/*! 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.34 How many acres will be left to m... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

How many acres will be left to mow after 100 hours of work?

Short Answer

Expert verified

The number of acres that will be left to mow after 100 hours of work is 1.230 acres

Step by step solution

01

Given Information

Given that the total area of the properties combined is 1,345 acres.

We have to find acres that will be left to mow after 100 hours of work

02

Explanation

Consider the given equation as given below:

y^=1350-1.2x

The number of acres that will be left to mow after 100 hours of work is:

y^=1350-(1.2×100)

=1.230 acres

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

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)

xyxy
02512
3849
2739
1303
513410

.When n=2andr=1,are the data significant? Explain

For a given line of best fit, you computed that r=0.6501 using n=12 data points and the critical value is 0.576. Can the line be used for prediction? Why or why not?

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.

For a given line of best fit, you computed that r=0.6501using n=12data points and the critical value is 0.576. Can the line be used for prediction? Why or why not?

Does the scatter plot appear linear? Strong or weak? Positive or negative?

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.