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Linear Regression

Authored by Jason McNabb

Mathematics

9th Grade

CCSS covered

Used 3+ times

Linear Regression
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5 questions

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1.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

If r = -0.9342, choose the best description of our correlation.

Strong positive correlation

Weak negative correlation

Strong negative correlation

No correlation

2.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

If r = 0.1327, choose the best description of the correlation of the data.

Strong positive correlation

Weak positive correlation

Strong negative correlation

Weak negative correlation

3.

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.

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

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

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