
Linear Regression
Authored by Karen Creech
11th Grade
CCSS covered
Used 4+ times

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20 questions
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1.
MULTIPLE CHOICE QUESTION
5 mins • 1 pt
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.
Tags
CCSS.8.EE.C.8C
2.
MULTIPLE CHOICE QUESTION
5 mins • 1 pt
The linear regression equation is y = 61.93x - 1.79. According to the model, the slope can be interpreted as:
Tags
CCSS.HSF.LE.B.5
3.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
A restaurant sells pizza for the prices in the data table. Calculate the linear regression equation of the data.
Tags
CCSS.8.EE.C.8C
4.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
Tags
CCSS.HSF-LE.A.1B
5.
MULTIPLE CHOICE QUESTION
5 mins • 1 pt
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.
6.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
A person travels by car. They record their miles driven in a data table. Calculate the linear regression equation of this data.
Tags
CCSS.HSF-LE.A.1B
7.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
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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