Regression Analysis Test

Regression Analysis Test

11th - 12th Grade

34 Qs

quiz-placeholder

Similar activities

Review

Review

9th - 12th Grade

35 Qs

Unit 7 Test REVIEW #1

Unit 7 Test REVIEW #1

11th Grade

35 Qs

Horiz-Vert

Horiz-Vert

2nd - 12th Grade

31 Qs

General Math Review

General Math Review

9th - 12th Grade

30 Qs

Dec 16 (Algebra 2)

Dec 16 (Algebra 2)

9th - 12th Grade

33 Qs

National Statistics Day 2024

National Statistics Day 2024

12th Grade

30 Qs

RESEARCH EY EY

RESEARCH EY EY

12th Grade

33 Qs

Unit 6 Quiz Lessons 1 to 6 CCR

Unit 6 Quiz Lessons 1 to 6 CCR

10th - 12th Grade

30 Qs

Regression Analysis Test

Regression Analysis Test

Assessment

Quiz

Other

11th - 12th Grade

Medium

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

+3

Standards-aligned

Created by

Shane Rosselle

Used 6+ times

FREE Resource

34 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Data was collected on the weight of a male  laboratory rat for the first 25 weeks after its birth. The linear regression equation is 
y= 40x+100, where x is number of weeks and y is weight in grams. 
What does the y-intercept mean in context of the problem?
The predicted weight of the rat in year 0. 
The predicted weight of the rat at birth. 
The current weight of the rat. 
The average increase in the rat's weight. 

2.

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

3.

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

4.

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

5.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Media Image

The annual profits for a company are given in the following table, where x represents the number of years since 1992, and y represents the profit in thousands of dollars. Write the linear regression equation that represents this set of data, rounding all coefficients to the nearest hundredth. Using this equation, estimate the year in which the profits would reach 378 thousand dollars.

2029

2014

2003

8753

6.

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

7.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Media Image
If Joe worked 30 hours, how much is he expected to earn?
$600
$200
$1000
$800

Tags

CCSS.HSF-LE.A.1B

Create a free account and access millions of resources

Create resources
Host any resource
Get auto-graded reports
or continue with
Microsoft
Apple
Others
By signing up, you agree to our Terms of Service & Privacy Policy
Already have an account?