Chapter 3 AP Stats Review

Shown is a residual plot. Would a linear regression model of the data be most appropriate?

• YES

• NO

The equation of the least squares regression line is y (hat) = 1.3 + 0.73x.  What is the residual for the point (4,7)?

• 2.78

• 3.00

• 4.00

• 4.22

Making the statement:
There is a positive linear correlation.
is an example of  what?

• Interpreting r²

• Interpreting r

• Interpreting a Residual Plot

• Interpreting Standard Deviation

Predicting the temperature for a heating time of 70 minutes is an example of what?

• Interpreting a Residual Plot

• Outlier Rule

• SOCS

• Extrapolation

Which of the following situations describes a negative correlation?

• the amount of gas left in a car's tank and the amount used from it

• the number of gallons purchased and the amount paid for it

• the size of a car's gas tank and the number of gallons it holds

• the number of miles driven and the amount of gas used

Given a correlation coefficient, r = -0.76, all of the following linear models would be possible except:

• y = -4x + 2

• g(x) = (-2/3)x + 0.5

• h = (-1/10)m - 6

• f(x) = 2x - 1.3

Describe the correlation in the graph shown.

• Strong Negative

• Strong Positive

• Weak Negative

• Weak Positive

If two quantitative variables are positively correlated...

• they are always nice to each other 

• high values for one variable are associated with high values of the other variable 

• high values for one variable are associated with low values of the other variable

• the data sets are completely unpredictable

Some data were collected on the weight of a male white laboratory rat for the first 25 weeks after its birth. The linear regression equation is:  Weight = 100 + 40(Time).
Which is the best description of the slope for this regression equation in context of the problem?

• The slope is 40 which respresents the average starting weight of the rats.

• The slope is 40 which represents a gain of 40 grams per week.

• The slope is 40 and represents that is takes 40 weeks to gain 1 gram.

• The slope is 100 which represents a gain of 100 grams per week.

What is the correlation (r) value?

• .209

• .457

• .105

• .361