11/19 - Correlation Coefficient & Linear Regression

11/19 - Correlation Coefficient & Linear Regression

8th - 10th Grade

20 Qs

quiz-placeholder

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11/19 - Correlation Coefficient & Linear Regression

11/19 - Correlation Coefficient & Linear Regression

Assessment

Quiz

Mathematics

8th - 10th Grade

Medium

CCSS
HSS.ID.B.6, HSS.ID.C.9, HSS.ID.C.7

+11

Standards-aligned

Created by

Erin Berg

Used 306+ times

FREE Resource

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

If x is temperature and y is coffee sales, use the following formula to determine the coffee sales on a 34° day.

y = -60x+6443

$4584

$4673

$8303

Tags

CCSS.HSF.LE.B.5

2.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Media Image
Describe the correlation in the graph shown.
Strong Negative
Strong Positive
Weak Negative
Weak Positive

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

3.

MULTIPLE CHOICE QUESTION

15 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

15 mins • 1 pt

Media Image
The chart below tracts starting salaries for health care workers since the year 2000. Using linear regression, find the equation of best fit. Round decimals to 3 places.
y = 839.721x + 27541.812
y = 27541.812x - 839.721
y = 27541.812x + 839.721
y = 839.721x - 27541.812

Tags

CCSS.HSF-LE.A.1B

5.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

What is a best-fit line used for?
To make predictions
To make the graph look pretty
To connect the points
To make it look like you know what you are doing

Tags

CCSS.8.EE.B.5

6.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Media Image

Find the equation of the line of best fit for the given data

y = 163.41x+1.49

y =- 163.41x+ 4.19

y =- 4.19x+163.41

y = 4.19x -163.41

Tags

CCSS.HSA.CED.A.2

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

7.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Media Image

Write the equation for the linear regression shown.

y=5.11x+3.23y=-5.11x+3.23

r=0.8r=0.8

y=3.23x 5.11y=3.23x\ -\ 5.11 \

y=0.64x+0.8y=0.64x+0.8

Tags

CCSS.HSS.ID.C.7

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