Linear Which Correlation Best Describes The Strength Of The Linear Association Table

Linear Which Correlation Best Describes The Strength Of The Linear Association Table

9th Grade

15 Qs

quiz-placeholder

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Linear Which Correlation Best Describes The Strength Of The Linear Association Table

Linear Which Correlation Best Describes The Strength Of The Linear Association Table

Assessment

Quiz

Mathematics

9th Grade

Hard

CCSS
HSF-LE.A.1B, 8.EE.C.8C, 8.EE.B.5

+3

Standards-aligned

Created by

Anthony Clark

FREE Resource

15 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 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

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

Which with is the line of best fit?

Black

Orange

Red

Blue

Tags

CCSS.8.EE.B.5

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

As the age of the car increases, its value decreases. Which scatterplot represents this relationship?

A

B

C

D

Tags

CCSS.HSF-LE.A.1B

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

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

10 miles

617.5 miles

0.19 miles

500 miles

Tags

CCSS.HSF.LE.B.5

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

Which best describes the table of data?

Weak Negative Correlation

Strong Negative Correlation

Weak Positive Correlation

Strong Positive Correlation

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

Create an equation that best describes the relationship shown in the table.

y = 0.97x + 4

y = 0.97x + 0.95

y = 22.3x + 4

y = 4x + 22.3

Tags

CCSS.8.F.B.4

CCSS.HSF.LE.A.2

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

What does the correlation coefficient for the data indicate about the strength of the linear association?

strong negative

weak negative

weak positive

strong positive

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