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PS: Quiz 5.1

Total questions: 25

Worksheet time: 1hrs 23mins

Name
Class
Date
1.

Number of pets a person has and number of books a person has read

a)

Positive Correlation

b)

Negative Correlation

c)

No Correlation

2.

Amount of Education and Amount of income

a)

Positive Correlation

b)

Negative Correlation

c)

No Correlation

3.

Number of days absent from school vs. math average

a)

Positive Correlation

b)

Negative Correlation

c)

No Correlation

4.

What type of Correlation?

a)

Positive Correlation

b)

Negative Correlation

c)

No Correlation

5.

What type of correlation?

a)

Positive Correlation

b)

Negative Correlation

c)

No Correlation

6.

Determine the Correlation Coefficient.

a)

-0.07

b)

-0.26

c)

0.26

d)

0.07

7.

Find the equation of the line of best fit for this table.

a)

y = -0.18x + 6.47

b)

y = 6.47x - 0.18

c)

y = 0.04x - 0.19

d)

y = -0.18x - 0.19

8.
Find the equation of the line of best fit for this table.
a)
y = -2.28x + 51.08
b)
y = 51.08x - 2.28
c)
y = 0.06x - 0.26
d)
y = -2.28x - 0.26
9.

Which example shows CAUSATION? (Which one CAUSED the other to happen.)

a)

Rainfall and time spent reading.

b)

Eating more butter and increased divorce rates.

c)

It started raining and the baseball game was delayed.

10.

Which example shows CORRELATION? (The events show correlation, but one thing does NOT cause the other thing to happen.)

a)

I put water in the freezer and now I have ice.

b)

The alarm clock went off and I woke up.

c)

Temperature and the amount of people at the beach.

11.

Which of the following is the WEAKEST negative correlation?

a)

-0.73

b)

- 0.34

c)

- 0.92

d)

- 0.57

12.

Describe the correlation coefficient if

r = 0.90

a)

Positive, weak

b)

Positive, strong

c)

Negative, weak

d)

Negative, strong

13.
Which of the following lines represents the line of best fit for the scatter plot?
a)
A
b)
B
c)
C
d)
D
14.
Find the best fitting quadratic model for the data given.
a)
1.2x2 + 13x + 504.3
b)
12x2 + 13x + 504.3
c)
.12x2 + 1.3x + 504.3
15.
A person travels by car.  They record their miles driven in a data table.  Calculate the linear regression equation of this data.
a)
y = 61.93x - 1.79
b)
y = -1.79x + 61.93
c)
y = 0.016x + 0.03
d)
y = 0.03x + 0.016
16.

A chemist has a 100-gram sample of a radioactive material. He records the amount of radioactive material every week for 6 weeks and obtains the following data: Find the exponential model of the function.

a)

y = 100(8.7)x

b)

y = 100(1.88)x

c)

y = 100(.88)x

d)

y = 100(.13)x

17.
Based on the scatterplot, what is the best prediction of the average amount of money spent on groceries for a household of 7 people?
a)
$240
b)
$190
c)
$210
d)
$300
18.
The number of siblings you have and your weight. 
a)
Positive correlation
b)
Negative correlation
c)
No correlation
d)
All of the above
19.

As x increases, y increases.

a)

correlation coefficient

b)

causation

c)

positive correlation

d)

negative correlation

20.

As x increases, y decreases.

a)

correlation coefficient

b)

causation

c)

positive correlation

d)

negative correlation

21.

As x increases, y has so steady trend or regression.

a)

correlation coefficient

b)

no correlation

c)

positive correlation

d)

negative correlation

22.

As shown in the table, a person's target heart rate during exercise changes as the person gets older. Use the graphing calculator to find the coefficient of determination.

a)

-0.999

b)

-0.664

c)

0.998

d)

1.503

23.

Find the height of the ball when it traveled a distance of 10 feet. Pay attention to what type of regression this is.

a)

12.8 ft

b)

13.3 ft

c)

11.1 ft

d)

17 ft

24.
r2= .83
a)
My data is very accurate. We have a 17% uncertainty.
b)
My data is 17% correct.
c)
My data is relatively strong. I have 83% accuracy.
d)
My data is very accurate. I have 17% accuracy.
25.

Using your graphing calculator determine coefficient of determination for the data in the table.

a)

.942

b)

0.888

c)

0.765

d)

0.222