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IM 1 Ch 4 Closure

Total questions: 63

Worksheet time: 1hrs 3mins

Name
Class
Date
1.
Residuals are . . . 
a)
possible models not explored by the researcher
b)
variation in the response variable that is explained by the model
c)
the difference between the observed response and the values predicted by the model
d)
data collected from individuals that is not consistent with the rest of the group
2.
After performing analyses on a set of data, Mrs. Schoeneck examined the scatter plot of the residual values for each analysis. Which scatter plot indicated the best linear fit for the data?
a)
A
b)
B
c)
C
3.

Shown is a residual plot. How many positive residuals are there?

a)

5

b)

1

c)

3

d)

9

4.

Which of these points appears to be an “Outlier?”

a)

A

b)

B

c)

C

d)

D

5.

The linear model to represent the distance (in miles) traveled given the time (in hours) driving is 

m=1.79+61.93hm=-1.79+61.93h . Predict how far a person will travel driving 10 hours. 

a)

617.51 miles

b)

621.09 miles

c)

100 miles

d)

0.19 miles

6.

The linear model to represent the distance (in miles) traveled given the time (in hours) driving is 

m=1.79+61.93hm=-1.79+61.93h . A person who traveled for 8 hours, went 443.65 miles.  What is the residual?

a)

50 miles

b)

-50 miles

c)

8 miles

d)

-25 miles

7.
As study time _______________, errors _______________.
a)
increases ; decrease
b)
increases ; increase
c)
decreases; decrease
d)
increases ; stays the same
8.

What is the correlation?

a)

Negative correlation

b)

No correlation

c)

Positive correlation

9.
What type of association does this graph show?
a)
Positive
b)
negative
c)
none
d)
all of the above
10.
a)
Positive, strong
b)
Positive, weak
c)
Negative, strong
d)
Negative weak
11.
a)
Positive, strong
b)
Positive, weak
c)
Negative, strong
d)
Negative, weak
12.
a)
Positive, strong
b)
Positive, weak
c)
Negative, strong
d)
Negative, weak
13.
Rank these scatter plots according to the intensity of the correlation represented, from weakest to strongest.
a)
1, 2, 3, 4
b)
2, 4, 3, 1
c)
4, 3, 2, 1
d)
1, 3, 4, 2
14.

Using the line of best fit, y=1.25x-110, predict how much granola a new "green" package that uses 300 square inches of cardboard is expected to hold.

A. Predicted value=

An actual value of a cardboard with 300 square inches holds 500 grams.

B. Calcualte the residual

a)

A. 265

B. 230

b)

A.260

B.240

c)

A. 265

B.235

d)

A. 250

B. 250

15.
a)
This residual graph represents a linear fit.
b)
This graph represents a nonlinear fit.
c)
This residual graph represents no fit.
16.

A residual is the vertical distance between a data point and a line of fit.

a)

True

b)

False

17.

When using midterm exam scores to predict a student's final grade in the class, the student would prefer to have

a)

positive residual, because that means the student's final grade is higher than we would predict with the model

b)

positive residual, because that means the student's final grade is lower than we would predict with the model

c)

residual equal to zero, because that means the student’s final grade is exactly what we would predict with the model

d)

negative residual, because that means the student’s final grade is higher than we would predict with the model

18.

If x is temperature and y is coffee sales, use the following linear model to determine the coffee sales in a 34° day.

y=644360xy=6443-60x  

a)

$8483

b)

$4403

c)

$4673

d)

$6443

19.

Write a linear model for the following situation. Your pizza costs $12 plus $0.50 per topping.

a)

c=12+0.50tc=12+0.50t

b)

t=12+0.50ct=12+0.50c

c)

c=0.50+12tc=0.50+12t

d)

c=120.50tc=12-0.50t

20.

For the following pair of variables, what kind of association would you expect? Number of hockey games played in Minnesota during a week and sales of suntan lotion in Minnesota during that same week.

a)

positive

b)

negative

c)

none

21.

For the following pair of variables, what kind of association would you expect? Number of hours a person has been up past a normal bedtime and the number of minutes it takes the person to complete a crossword puzzle.

a)

positive

b)

negative

c)

none

22.

What type of correlation exists between the amount of time a candle is burned and the height of the candle.

a)

Positive

b)

Negative

c)

None

23.

A residual is the vertical distance between a data point and a line of fit.

a)

True

b)

False

24.

to find the residual you subtract the...

a)

observed value (data y value) - predicted value (line of best fit y value)

b)

predicted value (line of best fit y value) - observed value (data y value)

25.

if the residual is ZERO then the data point is ________ on the line of best fit

a)

ON

b)

BELOW

c)

ABOVE

26.

The residual is the distance from

a)

the data point to the line of best fit

b)

correlation coefficient and zero

c)

zero

27.

if the residual is POSITIVE then the data point is ________ on the line of best fit

a)

ON

b)

BELOW

c)

ABOVE

28.

if the residual is NEGATIVE then the data point is ________ on the line of best fit

a)

ON

b)

BELOW

c)

ABOVE

29.

If the SUM of ALL the residuals is ZERO then...

a)

the line of best fit is most likely a good fit for the data

b)

the line of best fit is most likely a bad fit for the data

c)

this tells us nothing about the data

30.

the closer the RESIDUAL is to ZERO the

a)

closer the data point is to the line of best fit

b)

further the data point is from the line of best fit

c)

stronger the correlation

d)

weaker the correlation

31.

the closer the CORRELATION is to ZERO the

a)

closer the data point is to the line of best fit

b)

further the data point is from the line of best fit

c)

stronger the correlation

d)

weaker the correlation

32.
The Coefficient of Determination is 
a)
r squared
b)
c)
r times the standard deviation of y over the standard deviation of x
d)
a + bx
33.

Determine the correlation of the points on the scatterplot.

a)

Positive Correlation

b)

Negative Correlation

c)

No Correlation

d)

Zero Correlation

34.

Determine the correlation of the points on the scatterplot.

a)

Positive Correlation

b)

Negative Correlation

c)

No Correlation

d)

Zero Correlation

35.

If the correlation coefficient, r, of a data set is r = 0. 32. What type of correlation does the data have?

a)

Strong Positive

b)

Strong negative

c)

Weak Postive

d)

Weak Negative

e)

No correlation

36.
The correlation coefficient is a number "r" such that: 
a)
-1<r<1
b)
-1>r>1
c)
-1≤r≤1
d)
-1≥r≤1
37.

Estimate the correlation coefficient for this scatterplot.

a)

A) r = 1.2

b)

B) r = 0.89

c)

C)r = 0

d)

D) r = -0.89

38.

Estimate the correlation coefficient for this scatterplot.

a)

A) r = -0.9

b)

B) r = 1

c)

C) r = 0.9

d)

D) r = -1

39.

Estimate the correlation coefficient

a)

r = 1

b)

r = -1

c)

r ≈ -0.8

d)

r ≈ 0.8

e)

r ≈ -0.5

40.

Describe a correlation with a coefficient of r=0.3

a)

Strong positive

b)

Weak positive

c)

Strong negative

d)

Weak negative

41.

Which scatter plot diagram shows the strongest positive correlation?

a)
b)
c)
d)
42.

r = -0.3 is considered to have...

a)

moderate negative correlation

b)

weak negative correlation

c)

no correlation

d)

strong negative correlation

43.

Is this line an accurate line estimate of best fit for the data?

a)

Yes

b)

No

44.

Is this line an accurate line estimate of best fit for the data?

a)

Yes

b)

No

45.

Choose the correlation coefficient that best matches the graph.

a)

-1

b)

0

c)

0.5

d)

1

46.

Which line is the best line of best fit?

a)

a

b)

b

c)

c

d)

i don't see any lines

47.

What are the coordinates of the outlier?

a)

(1,9)

b)

(9,1)

c)

(2,2)

d)

y=x

48.

Which sentence describes the relationship shown on this scatter plot?

a)

As the temperature decreases, the visitors increase.

b)

As the temperature increases, the number of visitors increases.

c)

As the visitors increase, the temperature decreases.

d)

No correlation

49.
What letter do we use to represent correlation coefficient?
a)
c
b)
r
c)
p
d)
h
50.

Estimate the correlation coefficient for this scatterplot.

a)

A) r = 1.2

b)

B) r = 0.89

c)

C)r = 0

d)

D) r = -0.89

51.

As x increases, y decreases.

a)

A) no correlation

b)

B) negative correlation

c)

C) correlation coefficient

d)

D) positive correlation

52.

As x increases, y increases

a)

A) correlation coefficient

b)

B) causation

c)

C) positive correlation

d)

D) negative correlation

53.

Number of steps taken per day and number of kilometers walked per day. r=.92r=.92  

a)

strong positive

b)

strong negative

c)

weak positive

d)

weak negative

54.

Temperature of a rubber band and distance the rubber band can stretch. r=.84r=.84  

a)

strong positive

b)

strong negative

c)

weak positive

d)

weak negative

55.

Car weight and distance traveled using a full tank of gas.  r=.86r=-.86  

a)

strong positive

b)

strong negative

c)

weak positive

d)

weak negative

56.

Average fat intake per citizen of a country and average cancer rate of a country.  r=.73r=.73  

a)

strong positive

b)

strong negative

c)

weak positive

d)

weak negative

57.

Score on science exam and number of words written on the essay question.  r=.28r=.28  

a)

strong positive

b)

strong negative

c)

weak positive

d)

weak negative

58.

Average time spent listening to music per day and average time spent watching TV per day.  r=.17r=-.17  

a)

strong positive

b)

strong negative

c)

weak positive

d)

weak negative

59.

How many points have a postive residual?

a)

7

b)

6

c)

5

d)

4

60.

How many points have a negative residual?

a)

9

b)

7

c)

8

d)

6

61.

How many points have a zero residual?

a)

1

b)

14

c)

0

d)

4

62.

Residual of point H?

a)

5

b)

-5

c)

1

d)

-1

63.

Residual of point B?

a)

7

b)

5

c)

-6

d)

6