MAT 152 Chapter 10 Project - Scatterplots and Regression The price of gasoline in the U.S. has varied greatly in recent years. In this activity, you will explore relationships and trends in gasoline prices since 2000. Use the following set of data to complete the activity: Years since 2000 0 1 2 3 4 5 6 Gas Price per Gallon $1.30 $1.47 $1.14 $1.47 $1.59 $1.82 $2.32 60.0

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 6PPS
icon
Related questions
Question
100%

Please answer everything.

MAT 152 - Chapter 10 Project - Scatterplots and Regression
The price of gasoline in the U.S. has varied greatly in recent years. In this activity, you will
explore relationships and trends in gasoline prices since 2000.
Use the following set of data to complete the activity:
Price ($)
$4.00
$3.50
Scatterplot and Regression
1. Make a scatter plot of the data:
$3.00
$2.50
$2.00
$1.50
$1.00
$0.50
$0.00
0
Years since 2000
●
1
0
1
2
2
3
4
5
6
7
8
9
10
3
11
12
Average Price ($) of Regular Unleaded Gasoline at the
beginning of the year
S
Gas Price per
Gallon
6
$1.30
$1.47
$1.14
$1.47
$1.59
$1.82
$2.32
$2.27
$3.05
$1.79
$2.73
7
$3.09
$3.40
Years since 2000
9
●
10
11
12
13
Transcribed Image Text:MAT 152 - Chapter 10 Project - Scatterplots and Regression The price of gasoline in the U.S. has varied greatly in recent years. In this activity, you will explore relationships and trends in gasoline prices since 2000. Use the following set of data to complete the activity: Price ($) $4.00 $3.50 Scatterplot and Regression 1. Make a scatter plot of the data: $3.00 $2.50 $2.00 $1.50 $1.00 $0.50 $0.00 0 Years since 2000 ● 1 0 1 2 2 3 4 5 6 7 8 9 10 3 11 12 Average Price ($) of Regular Unleaded Gasoline at the beginning of the year S Gas Price per Gallon 6 $1.30 $1.47 $1.14 $1.47 $1.59 $1.82 $2.32 $2.27 $3.05 $1.79 $2.73 7 $3.09 $3.40 Years since 2000 9 ● 10 11 12 13
2. What observations can you make about gas prices over the 12 year span? How would
you describe the trend?
Strong positive linear
3. Make a guess! Based on the trend of this data, when do you think gas prices will reach
$6.00?
2022
4. Using your calculator, find a linear regression equation for this data. Use LinReg(ax +
b). Enter your data into L1 and L2 (Stat, Edit), then use Stat, Calc, #4.
Y=0.17247x+1.07593
5. Now, using your regression equation, estimate when gas prices will reach $6.00.
2028
6. How good was your guess? Write a statement about your guess compared to the actual
value
you found with your equation from #5.
I guessed 2022 and it was 2028. My guess was 6 years off.
7. What are the r and r² values for this set of data? How good of a linear model do you
think this is for this set of data, based on these values?
Quadratic Regression
8. Where you find linear regression on the calculator, if you scroll down a little further, you
will find QuadReg (Quadratic Regression). This will find a quadratic, or curved, line that
may sometimes fit the data better. Find the quadratic regression line on the same set of
data. It will be in the form y = ax2+bx+c. Round a, b, and c to 3 or 4 decimal places.
9. Now, using the quadratic model, predict what the price of gas will be in the year 2020.
10. What are the r and r² values for the quadratic model? Do you think the linear or the
quadratic model is a better fit, and why? (Hint: The calculator will not give you r
directly, you must take the square root of r² to find it.)
Transcribed Image Text:2. What observations can you make about gas prices over the 12 year span? How would you describe the trend? Strong positive linear 3. Make a guess! Based on the trend of this data, when do you think gas prices will reach $6.00? 2022 4. Using your calculator, find a linear regression equation for this data. Use LinReg(ax + b). Enter your data into L1 and L2 (Stat, Edit), then use Stat, Calc, #4. Y=0.17247x+1.07593 5. Now, using your regression equation, estimate when gas prices will reach $6.00. 2028 6. How good was your guess? Write a statement about your guess compared to the actual value you found with your equation from #5. I guessed 2022 and it was 2028. My guess was 6 years off. 7. What are the r and r² values for this set of data? How good of a linear model do you think this is for this set of data, based on these values? Quadratic Regression 8. Where you find linear regression on the calculator, if you scroll down a little further, you will find QuadReg (Quadratic Regression). This will find a quadratic, or curved, line that may sometimes fit the data better. Find the quadratic regression line on the same set of data. It will be in the form y = ax2+bx+c. Round a, b, and c to 3 or 4 decimal places. 9. Now, using the quadratic model, predict what the price of gas will be in the year 2020. 10. What are the r and r² values for the quadratic model? Do you think the linear or the quadratic model is a better fit, and why? (Hint: The calculator will not give you r directly, you must take the square root of r² to find it.)
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 9 steps with 16 images

Blurred answer
Recommended textbooks for you
Glencoe Algebra 1, Student Edition, 9780079039897…
Glencoe Algebra 1, Student Edition, 9780079039897…
Algebra
ISBN:
9780079039897
Author:
Carter
Publisher:
McGraw Hill
Holt Mcdougal Larson Pre-algebra: Student Edition…
Holt Mcdougal Larson Pre-algebra: Student Edition…
Algebra
ISBN:
9780547587776
Author:
HOLT MCDOUGAL
Publisher:
HOLT MCDOUGAL
Calculus For The Life Sciences
Calculus For The Life Sciences
Calculus
ISBN:
9780321964038
Author:
GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:
Pearson Addison Wesley,
Big Ideas Math A Bridge To Success Algebra 1: Stu…
Big Ideas Math A Bridge To Success Algebra 1: Stu…
Algebra
ISBN:
9781680331141
Author:
HOUGHTON MIFFLIN HARCOURT
Publisher:
Houghton Mifflin Harcourt
College Algebra
College Algebra
Algebra
ISBN:
9781938168383
Author:
Jay Abramson
Publisher:
OpenStax