Concept explainers
a.
To make:
A
a.

Answer to Problem 33E
The line of best fit would look like:
Explanation of Solution
Given:
The table below shows the men’s winning timesin the Boston Marathon for every tenth year from 1900 to 2000. In the table, x represents the number of years since 1900, and y represents the corresponding winning time (to the nearest minute).
Calculation:
First of all, we will write our given data as ordered pairs
Now we will plotour given values on coordinate plane and draw a line of best fit as shown below:
b.
To write:
An equation for the line of best fit.
b.

Answer to Problem 33E
The equation for the line of the best fit would be
Explanation of Solution
Given:
The table below shows the men’s winning times in the Boston Marathon for every tenth year from 1900 to 2000. In the table, x represents the number of years since 1900, and y represents the corresponding winning time (to the nearest minute).
Calculation:
First of all, we will find slope of line passing through point (0,160) and (100,130) as:
Now we will use slope-intercept form to write our equation as:
Therefore, the equation for the line of the best fit would be
c.
To predict:
The men’s winning time in the Boston Marathon for the year 2010.
c.

Answer to Problem 33E
Men’s winning time in the Boston Marathon for the year 2010would be 127 minutes.
Explanation of Solution
Given:
The table below shows the men’s winning times in the Boston Marathon for every tenth year from 1900 to 2000. In the table, x represents the number of years since 1900, and y represents the corresponding winning time (to the nearest minute).
Calculation:
To predict men’s winning time in the Boston Marathon for the year 2010, we will substitute
Therefore, men’s winning time in the Boston Marathon for the year 2010 would be 127 minutes.
d.
Do you think your equation will accurately predict winning times far into the future? Explain your reasoning.
d.

Answer to Problem 33E
The equation will not accurately predict winning times far into the future.
Explanation of Solution
Given:
The table below shows the men’s winning times in the Boston Marathon for every tenth year from 1900 to 2000. In the table, x represents the number of years since 1900, and y represents the corresponding winning time (to the nearest minute).
Calculation:
The line of best fit is for our given data. The slope of the line is negative, so as the x values will increase the value of y will approach zero. Our equation for the line of best fit can predict winning times close to year 2000.
Since we cannot expect all data points to fall on the line of best fit, therefore, the equation will not accurately predict winning times far into the future.
Chapter 8 Solutions
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
Additional Math Textbook Solutions
Introductory Statistics
College Algebra (7th Edition)
Precalculus
Basic Business Statistics, Student Value Edition
Calculus: Early Transcendentals (2nd Edition)
A Problem Solving Approach To Mathematics For Elementary School Teachers (13th Edition)
- Round as specified A) 257 down to the nearest 10’s place B) 650 to the nearest even hundreds, place C) 593 to the nearest 10’s place D) 4157 to the nearest hundreds, place E) 7126 to the nearest thousand place arrow_forwardEstimate the following products in two different ways and explain each method  A) 52x39 B) 17x74 C) 88x11 D) 26x42arrow_forwardFind a range estimate for these problems A) 57x1924 B) 1349x45 C) 547x73951arrow_forward
- Draw the image of the following figure after a dilation centered at the origin with a scale factor of 14 退 14 12- 10 5- + Z 6 的 A X 10 12 14 16 18 G min 3 5arrow_forwardkofi makes a candle as a gift for his mom. The candle is a cube with a volume of 8/125 ft cubed. Kofi wants to paint each face of the candle exepct for the bottom. what is the area he will paint?arrow_forward10 6 9. 8 -7- 6. 5. 4- 3. 2 1- -1 0 -1 2 3 4 ·10 5 6 7 00 8 6 10arrow_forward
- Week 3: Mortgages and Amortiza X + rses/167748/assignments/5379530?module_item_id=23896312 11:59pm Points 10 Submitting an external tool Gider the following monthly amortization schedule: Payment # Payment Interest Debt Payment Balance 1 1,167.34 540.54 626.80 259,873.20 2 1,167.34 539.24 628.10 259,245.10 3 1,167.34 With the exception of column one, all amounts are in dollars. Calculate the annual interest rate on this loa Round your answer to the nearest hundredth of a percent. Do NOT round until you calculate the final answer. * Previous a Earrow_forwardCafé Michigan's manager, Gary Stark, suspects that demand for mocha latte coffees depends on the price being charged. Based on historical observations, Gary has gathered the following data, which show the numbers of these coffees sold over six different price values: Price Number Sold $2.70 765 $3.50 515 $2.00 990 $4.30 240 $3.10 325 $4.00 475 Using simple linear regression and given that the price per cup is $1.85, the forecasted demand for mocha latte coffees will be cups (enter your response rounded to one decimal place).arrow_forwardGiven the correlation coefficient (r-value), determine the strength of the relationship. Defend your answersarrow_forward
- ??!!arrow_forwardrections: For problem rough 3, read each question carefully and be sure to show all work. 1. Determine if 9(4a²-4ab+b²) = (6a-3b)² is a polynomial identity. 2. Is (2x-y) (8x3+ y³) equivalent to 16x4-y4? 3. Find an expression that is equivalent to (a - b)³. Directions: For problems 4 and 5, algebraically prove that the following equations are polynomial identities. Show all of your work and explain each step. 4. (2x+5)² = 4x(x+5)+25 5. (4x+6y)(x-2y)=2(2x²-xy-6y²)arrow_forwardName: Mussels & bem A section of a river currently has a population of 20 zebra mussels. The population of zebra mussels increases 60 % each month. What will be the population of zebra mussels after 2 years? 9 10 # of months # of mussels 1 2 3 4 5 6 7 8 o Graph your data. Remember to title your graph. What scale should be used on the y-axis? What scale should be used on the x-axis? Exponential Growth Equation y = a(1+r)*arrow_forward
- Algebra and Trigonometry (6th Edition)AlgebraISBN:9780134463216Author:Robert F. BlitzerPublisher:PEARSONContemporary Abstract AlgebraAlgebraISBN:9781305657960Author:Joseph GallianPublisher:Cengage LearningLinear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage Learning
- Algebra And Trigonometry (11th Edition)AlgebraISBN:9780135163078Author:Michael SullivanPublisher:PEARSONIntroduction to Linear Algebra, Fifth EditionAlgebraISBN:9780980232776Author:Gilbert StrangPublisher:Wellesley-Cambridge PressCollege Algebra (Collegiate Math)AlgebraISBN:9780077836344Author:Julie Miller, Donna GerkenPublisher:McGraw-Hill Education





