Linear Regression

Linear Regression

11th Grade

20 Qs

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Linear Regression

Linear Regression

Assessment

Quiz

11th Grade

Medium

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

+5

Standards-aligned

Created by

Karen Creech

Used 4+ times

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20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

5 mins • 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.8.EE.C.8C

2.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Media Image

The linear regression equation is y = 61.93x - 1.79.  According to the model, the slope can be interpreted as:

After 0 hours of driving, they went 61.93 miles.
They drove at a speed of 61.93 miles per hour.
They drove 61.93 miles total.
They drove 61.93 hours total.

Tags

CCSS.HSF.LE.B.5

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

5,000
2,620
17,000
20,200

Tags

CCSS.HSF-LE.A.1B

5.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Media Image

The scatter plot shows the relationship between the number of chapters and the total number of pages for several books.  Use the trend line to predict how many chapters would be in a book with 180 pages. 

12 chapters
15 chapters
18 chapters
21 chapters

6.

MULTIPLE CHOICE QUESTION

15 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

7.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Media Image

The number of newly reported crime cases in a county in New York State is shown in the accompanying table, where x represents the number of years since 1994, and y represents number of new cases. Write the linear regression equation that represents this set of data, rounding all coefficients to the nearest hundredth. Using this equation, find the projected number of new cases for 2003, rounded to the nearest whole number.

974

25,101

940

952

Tags

CCSS.HSF.LE.B.5

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