Correlation and Predictions of Linear Functions

Correlation and Predictions of Linear Functions

9th - 12th Grade

35 Qs

quiz-placeholder

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Correlation and Predictions of Linear Functions

Correlation and Predictions of Linear Functions

Assessment

Quiz

Mathematics

9th - 12th Grade

Hard

Created by

Lisa Lee

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35 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 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

1 min • 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

3.

MULTIPLE CHOICE QUESTION

1 min • 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.

4.

MULTIPLE CHOICE QUESTION

1 min • 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

5.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

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

6.

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

7.

MULTIPLE CHOICE QUESTION

45 sec • 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

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