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Line of Best fit using Desmos (Hobbs)

Authored by Kelli Hobbs

Mathematics

9th - 12th Grade

CCSS covered

Used 1+ times

Line of Best fit using Desmos (Hobbs)
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16 questions

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1.

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

2.

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

Tags

CCSS.HSF-LE.A.1B

3.

MULTIPLE CHOICE QUESTION

5 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

4.

MULTIPLE CHOICE QUESTION

5 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.HSS.ID.B.6

CCSS.HSS.ID.C.7

CCSS.HSA.CED.A.2

5.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Media Image

Write the linear regression equation for the following data points. Round to the nearest hundredth.

y=0.83x+0.61y=-0.83x+0.61

y=0.83x+0.63y=-0.83x+0.63

y=0.83x+0.8y=0.83x+-0.8

a2+b2=c2a^2+b^2=c^2

Tags

CCSS.8.EE.B.5

6.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Media Image

Find the equation of the Line of Best Fit from the data set. 

y = 0.892x - 1.82
y = 1.82x - 5.02
y = 0.796x + 5.02
y = 1.82x + 5.02

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

CCSS.HSA.CED.A.2

7.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Media Image

The table shown is comparing a person's foot length (x) to their height (y) in cm. Calculate a line of best fit.

y = 25.05x + 5.57

y = 5.57x + 25.05

y = -5.57x + 25.05

y = 5.57x - 25.05

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