Topic 3 Review (Mod 1 EXAM)

What type of Correlation?

• Positive Correlation

• Negative Correlation

• No Correlation

Tags

CCSS.HSF-LE.A.1B

What kind of correlation?

• Positive
• Negative
• No

Tags

CCSS.HSF-LE.A.1B

What kind of correlation?

• Positive
• Negative
• No

Tags

CCSS.HSF-LE.A.1B

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

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

Estimate the correlation coefficient for this scatterplot.

• A) r = 1.2

• B) r = 0.89

• C)r = 0

• D) r = -0.89

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

Estimate the correlation coefficient.

• r=1
• r=-1
• r=0.5
• r=-0.5

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

Given the linear regression equation f(x)= 5.4x - 9, the actual value at x=2 is 2. What is the RESIDUAL value? (remember use actual-predicted=residual).

• .2

• -.2

• 1.8

• 5.4

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