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MVP 2 Review 25-26

Authored by Chloe Thompson

Mathematics

8th Grade

CCSS covered

Used 20+ times

MVP 2 Review 25-26
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20 questions

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1.

MULTIPLE CHOICE QUESTION

3 mins • 1 pt

Media Image

4.5

2.7

-7.5

-8.5

Tags

CCSS.8.EE.C.7B

2.

MULTIPLE CHOICE QUESTION

3 mins • 1 pt

Which graph represents a NONLINEAR function?

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Media Image
Media Image
Media Image

Tags

CCSS.8.F.A.3

3.

MULTIPLE CHOICE QUESTION

3 mins • 1 pt

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Function K has a greater slope and y-intercept than Function P.

Function K has a greater slope but a smaller y-intercept than Function P.

Function K has a smaller slope and y-intercept than Function P.

Function K has a smaller slope but greater y-intercept than Function P.

Tags

CCSS.8.F.A.2

CCSS.HSF.IF.C.9

4.

MULTIPLE CHOICE QUESTION

3 mins • 1 pt

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Which statement about the graph of the line that models the scenario is true?

The slope of the lines is -6, which represents a decrease of 6 mosquitos every day.

The slope of the line is -6, which represents the 6 mosquitos present before the backyard was sprayed.

The slope of the line is -12, which represents a decrease of 12 mosquitos every day.

The slope of the line is -12, which represents the 12 mosquitos present before the backyard was sprayed.

Tags

CCSS.HSF.LE.B.5

5.

MULTIPLE CHOICE QUESTION

3 mins • 1 pt

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5x - y = 7

5x - y = 1

x - 5y = 35

x - 5y = 5

Tags

CCSS.8.EE.C.8A

6.

MULTIPLE CHOICE QUESTION

3 mins • 1 pt

Media Image

Which equations represents t, the temperature of the coffee in degrees Fahrenheit, after it sits for m minutes?

t = -30m + 185

t = -15m + 185

t = 15m + 185

t = 30m + 185

Tags

CCSS.HSF-BF.A.1A

7.

MULTIPLE CHOICE QUESTION

3 mins • 1 pt

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Which statement is true?

The linear model describes the data well because it is located below the majority of the points.

The linear model describes the data well because it minimizes the distance between the model and the points.

The linear model does not describe the data well because it does not connect the first and last points.

The linear model does not describe the data well because it does not minimize the distance between the model and the points.

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