Modeling Linear Data and Line of Best Fit

Modeling Linear Data and Line of Best Fit

8th - 12th Grade

12 Qs

quiz-placeholder

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Modeling Linear Data and Line of Best Fit

Modeling Linear Data and Line of Best Fit

Assessment

Quiz

Mathematics

8th - 12th Grade

Hard

CCSS
HSF.BF.A.2, HSF.LE.B.5, 8.EE.C.8C

+10

Standards-aligned

Created by

Lisa Lee

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12 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Media Image

The linear regression equation is y = 61.93x - 1.79. Use the equation to predict about how far this person will travel after 10 hours of driving.

600 miles

620 miles

650 miles

900 miles

Tags

CCSS.HSF.LE.B.5

2.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Media Image

The linear regression equation is y = 61.93x - 1.79. Predict how long it would take them to drive 750 miles.

about 9 hours

about 10 hours

about 12 hours

about 13 hours

3.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Media Image
A restaurant sells pizza for the prices in the data table.  Calculate the linear regression equation of the data.
y = 1.5x + 12
y = 12x + 1.5
y = 0.67x - 8
y = -8x + 0.67

Tags

CCSS.8.EE.C.8C

4.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Media Image

2,560

2,620

2,690

2,750

Tags

CCSS.HSF.BF.A.2

5.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Media Image
The scatter plot shows the relationship between the number of chapters and the total number of pages for several books.  Use the trend line to predict how many chapters would be in a book with 180 pages. 
12 chapters
15 chapters
18 chapters
21 chapters

Tags

CCSS.HSF.BF.A.2

6.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Media Image
A person travels by car.  They record their miles driven in a data table.  Calculate the linear regression equation of this data.
y = 61.93x - 1.79
y = -1.79x + 61.93
y = 0.016x + 0.03
y = 0.03x + 0.016

7.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Media Image

The annual profits for a company are given in the following table, where x represents the number of years since 1992, and y represents the profit in thousands of dollars. Estimate the year in which the profits would reach 378 thousand dollars.

2029

2014

2003

8753

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