Free Printable Unit 3: Statistics (Algebra 1)

Worksheets

Unit 3: Statistics (Algebra 1)

Total questions: 20

Worksheet time: 27mins

Name

Class

Date

Correlation coefficient is the statistic that measures the strength and direction of a linear association between two quantitative variables.

True

False

Which "r" value represents the strongest correlation?

.05

0.85

-0.1

-0.9

Given the following Scatter Plot, select the option that is most likely the r value.

$r=.27$

$r=-.862$

$r=.934$

$r=.54$

Given the following Scatter Plot, select the option that is most likely the r value.

$r=-.45$

$r=-.981$

$r=.728$

$r=.12$

What type of correlation? The number of siblings you have and your weight.

Positive correlation

Negative correlation

No correlation

What type of correlation?
The temperature outside and the amount of ice cream sales.

Positive correlation

Negative correlation

No correlation

Which statement is the most accurate interpretation of the data?

As time went by, the temperature tended to decrease

As time went by the temperature tended to increase

There is no relationship between time and temperature.

What is a line of best fit used for?

To make predictions

To make the graph look pretty

To connect the points

To make it look like you know what you are doing

Which graph shows a line of best fit for the scatter plot?

Graph A

Graph B

Graph C

Graph D

10.

The following table represents the relationship between temperature and approximate ice cream sales at a local Dairy Queen during one week in May. What is the equation used to represent the linear model? Round all data to the nearest hundredths place.

$y=16.67x+350$

$y=350x+17x$

$y=50x+12$

$y=16.67x+95$

11.

Select the statement that best describes the line.

The line is the line of best fit.

The line is NOT a line of best fit because it does not go through the origin.

The line is NOT a line of best fit because it does not go through the middle of the data set.

12.

Residuals are . . .

possible models not explored by the researcher

variation in the response variable that is explained by the model

the difference between the observed response and the values predicted by the model

data collected from individuals that is not consistent with the rest of the group

13.

The correlation coefficient r is a value between

0 and 1

0 and 100

-1 and 1

-2 and 2

14.

What type of correlation exists between the temperature outside and the number of hot chocolate sold at a football game.

positive

negative

no correlation

unknown

15.

As study time _______________, errors _______________.

increases ; decrease

increases ; increase

decreases; decrease

increases ; stays the same

16.

What percentage of males drive sports cars?

35%

16.25%

65%

25%

17.

According to the table, what is the relative frequency of students ages 10 - 13 who eat breakfast?

About 33%

About 50%

About 40%

About 44%

18.

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

1.91

52%

17%

35%

19.

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

$m=-1.79+61.93h$ .

A. Predict how far a person will travel driving 10 hours.

B. The person was actually was able to drive 650 miles in 10 hours, calculate the residual.

617.51 miles; 92.49

621.09 miles; 650

650; -92.49

0.19 miles; 10

20.

In a given set of data, you make a prediction that a student will score an 86 on an upcoming math test. The student scores a 92. Calculate the residual.

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Unit 3: Statistics (Algebra 1)

Total questions: 20

Worksheet time: 27mins

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