Quiz about AP Statistics Unit 2 Review

Question 1

Describe the correlation in the graph shown.

Accepted Answer

Strong Negative

Answer

Strong Positive

Answer

Weak Negative

Answer

Weak Positive

Question 2

Describe the correlation in the graph shown.

Accepted Answer

Weak Positive

Answer

Weak Negative

Answer

Strong Negative

Answer

Strong Positive

Question 3

A correlation shows that two variables are

Accepted Answer

Answer

causing each other

Answer

corred

Answer

ambiguous

Question 4

What type of correlation does this graph show?

Accepted Answer

none

Answer

Positive

Answer

negative

Answer

all of the above

Question 5

What type of correlation describes the following sentence:
The "number of people that go to the pool" and the "temperature outside".

Accepted Answer

positive

Answer

negative

Answer

no correlation

Question 6

What type of correlation describes the following sentence:
The "temperature outside" and the "number of hot chocolate sold" at a football game.

Accepted Answer

negative

Answer

postive

Answer

no correlation

Question 7

If two variables are negatively correlated...

Accepted Answer

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

Answer

they always are mean to each other

Answer

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

Answer

the data sets are completely unpredictable

Question 8

What is the slope of the LSRL from this printout?

Accepted Answer

0.74

Answer

-0.47

Answer

1.098

Answer

23.59

Question 9

The table shown is comparing a person's foot length to their height in cm. Calculate the regression equation

Accepted Answer

yhat = 5.57x + 25.05

Answer

yhat = 25.05x + 5.57

Answer

yhat = -5.57x + 25.05

Answer

yhat = 5.57x - 25.05

Question 10

Which is the best CONTEXTUAL description of the y - intercept for the linear regression equation of the rats: Weight = 100 + 40(Time)?

Accepted Answer

The y-intercept is 100, which means the rat is predicted to weigh 100 grams at birth.

Answer

The y-intercept is 100, which is where the graph crosses the y-axis.

Answer

100 is where the data starts on the y-axis.

Answer

The y-intercept is 100, which means at a weight of 0, the rat will take 100 seconds.

Question 11

What is the correlation (r) value?

Accepted Answer

.457

Answer

.209

Answer

.13

Answer

.361

Question 12

How do you calculate a residual?

Accepted Answer

Actual y MINUS Predicted y-hat

Answer

Predicted y-hat MINUS Observed y

Question 13

Interpret the slope of the Least Squares Line Equation.

Accepted Answer

As hours increases by one, income is predicted to increase by 31.45 on average.

Answer

Income increases by 31.45 with each additional 2 hours worked.

Answer

Income increases by 31.45

Answer

As hours increases by one, income will decrease by 242.3.

Question 14

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.

Accepted Answer

617.5 miles

Answer

10 miles

Answer

0.19 miles

Answer

500 miles

Question 15

Question 15.

Accepted Answer

The slope decreased and the r²increased.

Answer

The slope increased and the r² decreased.

Answer

The slope decreased but r² remained the same.

Answer

Both slope and r² remained the same.

Question 16

What's the appropriate interpretation of the slope of the regression line?

Accepted Answer

For every additional hour of growth, the logarithm of the culture's weight in grams is predicted to increase by 0.61.

Answer

For every additional 0.61 hours of growth, the culture is predicted to weight 1 more gram.

Answer

For every additional hour of growth, the culture is predicted to weigh 0.61 more grams.

Answer

At the beginning of the experiment, the logarithm of the culture's weight in grams was approximately 0.61 ounces.

Question 17

If a residual plot based on the scatterplot of (x ,y) shows a curved pattern, this indicates

Accepted Answer

A linear model is not a good fit for the data.

Answer

A linear model is a good fit for the data.

Answer

A power model is a good fit for the data.

Answer

An exponential model is a good fit for the data.

Question 18

If a residual plot based on the scatterplot of (x ,log(y)) shows a uniform, scattered pattern, this indicates

Accepted Answer

An exponential model is a good fit for the data.

Answer

A linear model is a good fit for the data.

Answer

A power model is a good fit for the data.

Answer

No reliable model exists.

Question 19

In a scatterplot, an outlier...

Accepted Answer

...is a point that is far outside the overall pattern of points/ordered pairs AND has a large residual.

Answer

...is something we didn't learn in 8th grade

Answer

...is a point on the origin

Answer

...is a group of points that are close together

Question 20

Describe the correlation in the graph shown.

Accepted Answer

Strong Positive

Answer

Strong Negative

Answer

Weak Negative

Answer

Weak Positive

Question 21

According to the two-way table, a person who plays an instrument is most likely to:

Accepted Answer

Play a team sport

Answer

Not play an instrument

Answer

Not play a team sport

Answer

All of the above

Question 22

Of the mechanical engineers, what is the probability that math is their favorite subject?

Accepted Answer

52%

Answer

1.91

Answer

17%

Answer

35%

Question 23

What type of data are jersey numbers?

Accepted Answer

Categorical

Answer

Quantatative

Question 24

What percent of females prefer sports cars? This answer is part of what distribution?

Accepted Answer

25%; conditional distribution of car type preference among people of a given gender

Answer

25%; conditional distribution of gender among people with a particular car type preference

Answer

18.8%; marginal distribution of gender

Answer

18.8%; marginal distribution of car type preference

Question 25

In a two way table of counts, the distribution of values of one of the categorical variables among all individuals described by the table. Totals found in the margins.

Accepted Answer

Marginal Distribution

Answer

Contingency Table

Answer

Frequency Table

Answer

Distribution

Question 26

What is the conditional distribution of individuals with high blood pressure for the "Under 30" age group?

Accepted Answer

23.5%

Answer

15.6%

Answer

27.6%

Answer

49%

Question 27

A point in a scatterplot that is more extreme in the x-direction is considered

Accepted Answer

influential and high-leverage because it will change the relationship (slope, correlation, etc.) substantially.

Answer

an outlier.

Answer

a correlation coefficient.

Answer

a power point.

Question 28

Association implies causation.

Accepted Answer

<p>False</p>

Answer

Question 29

Correlation applies to what type of variables?

Accepted Answer

Two quantitative.

Answer

Any bivariate data.

Answer

Two categorical.

Answer

One quantitative and one categorical.

Question 30

The correlation coefficient r for the relationship between a sample of students height measured in centimeters and their weight measured in kilograms is 0.833. If the height was converted to meters, what would be the effect on r?

Accepted Answer

It would not change because r does not have a unit of measure.

Answer

It would become -0.833.

Answer

It would be multiplied by 100.

Answer

It would be divided by 100.

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