Linear Regression

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. 

Tags

CCSS.HSS.ID.C.7

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

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

What letter do we use to represent correlation coefficient?

• c
• r
• p
• h

Tags

CCSS.8.SP.A.1

CCSS.8.SP.A.2

Describe the correlation in the graph shown.

• Strong Negative
• Strong Positive
• Weak Negative
• Weak Positive

Tags

CCSS.HSF-LE.A.1B

What type of association does this graph have?

• positive
• negative
• none
• all of the above

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

A person travels by car.  They record their miles driven in a data table.  Identify the x-variable (input) of the data.

• Time (hours)
• Distance (miles)

Tags

CCSS.6.EE.C.9

A person travels by car.  They record their miles driven in a data table.  Identify the y-variable (output) of the data.

• Time (hours)
• Distance (miles)

Tags

CCSS.6.EE.C.9

Which of the following could be a possible line of best fit for the data?

• y = -5/2x + 20
• y = -x + 19
• y = x + 20
• y = 2/3x + 15 

Tags

CCSS.8.EE.B.5

What type of correlation does this graph show?

• Positive
• negative
• none
• all of the above

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8