Chapter 6

Question 1

This display shows the relationship between two quantitative variables measured on the same cases.

Answer 1

Scatterplots.

Question 2

What is the x variable also known as in statistics?

Answer 2

Explanatory, Predictor or Independent Variable.

Question 3

What is the y variable also known as in statistics?

Answer 3

Response or Dependent Variable.

Question 4

Define the Correlation Coefficient.

Answer 4

This measures the strength (scattering) and direction (slope) of the linear relationship between the predictor and response variables.

Question 5

Does correlation imply causation (the action of causing something)?

Answer 5

No.

Question 6

A plot that appears as a cloud or swarm of points stretched out in a generally consistent, straight form is called ________?

Answer 6

linear.

Question 7

Order these scatterplots due to the correlation coefficients, largest to smallest.

Answer 7

D, A, B, C.

Question 8

Define the statistical defintion for correlation.

Answer 8

Correlation is a statistical technique that can show whether and how strongly pairs of variables are related.

Question 9

We typically call the variable of interest the _______ ________ and the other the ________ or _________ __________.

Answer 9

response variable, explanatory, predictor variable.

Question 10

In Statistics, an ___________ is any relationship between two measured quantities that renders them statistically dependent.

Answer 10

association.

Question 11

In reference to Association and Correlation, what is meant when asked to describe the direction, form and strength of a plot?

Answer 11

Direction is slope.

Form is a description of the cloud or swarm of points geometric pattern, is the swarm linear, parabolic, ……, or no such patttern?

Strength is a measure of how tightly clustered the scatterplot is.