Linear/Quadratic Regression Practice

Linear/Quadratic Regression Practice

9th - 12th Grade

15 Qs

quiz-placeholder

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Linear/Quadratic Regression Practice

Linear/Quadratic Regression Practice

Assessment

Quiz

Mathematics

9th - 12th Grade

Hard

CCSS
HSS.ID.B.6, HSA.CED.A.2, HSA.SSE.A.1

+2

Standards-aligned

Created by

Elyssa Wagner

FREE Resource

15 questions

Show all answers

1.

DRAG AND DROP QUESTION

15 mins • 1 pt

Media Image

The table shows data about age and servings of vegetables per month.

Find the line / curve of best fit. Round to the nearest tenth.​ ​ ​ (a)  

2.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Media Image

Use your line / curve of best fit to answer the following question.

About how many servings of vegetables can you expect a 4 year old to have per month?

about 23

about 33

about 12

about 16

about 29

3.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Media Image

Which of the following quadratic equations best represents the following data?

y = 7x2 - 3x

y = 3x2 - 2x + 1

y = 6x2 + 3x - 2

y = 7x2 - 3x + 1

y = 5x2 + 9x

Tags

CCSS.HSA.CED.A.2

CCSS.HSA.SSE.A.1

4.

DRAG AND DROP QUESTION

15 mins • 1 pt

Media Image

The table shows the number of deer spotted on a plot of land and the temperature outside.

What is the equation of the line / curve of best fit?​ (a)  

5.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Media Image

Use your line / curve of best fit to answer the following question.

How many deer could you expect to see when the temperature is 20 degrees?

about 8 deer

about 10 deer

about 11 deer

about 7 deer

about 2 deer

6.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Media Image

Use your line / curve of best fit to answer the following question.

How many deer could you expect to see when the temperature is 68 degrees?

about 8 deer

about 10 deer

about 11 deer

about 3 deer

about 2 deer

7.

DRAG AND DROP QUESTION

15 mins • 1 pt

Media Image

The table shows the number of people at the beach given the temperature outside.

What is the equation of the line / curve of best fit for this data?​ (a)  

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