The video introduces scatter plots, explaining their use in displaying bivariate numerical data. It covers how to describe scatter plots by examining associations between variables, including positive, negative, and no association. Examples illustrate these concepts, and the video also distinguishes between linear and non-linear associations. It discusses outliers and clustering, providing practice examples to reinforce understanding.

What does a scatter plot primarily display?

• Categorical data only

• Univariate numerical data

• Textual analysis data

• Bivariate numerical data

Tags

CCSS.8.SP.A.1

What does a positive association in a scatter plot indicate?

• As one variable increases, the other decreases

• No relationship between the variables

• As one variable increases, the other also increases

• Random distribution of data points

Tags

CCSS.HSS.ID.B.5

Which of the following best describes a scatter plot with a negative association?

• Points move upward from left to right

• Points are randomly distributed with no clear pattern

• Points move downward from left to right

• All points lie on a straight line

What does a scatter plot with no association show?

• Two distinct clusters of data points

• All points aligned in a straight line

• Data points scattered randomly without a pattern

• A clear upward or downward trend

Tags

CCSS.HSS.ID.B.5

In a scatter plot showing the relationship between study time and test grades, what kind of association would you expect?

• No association

• Positive

• Negative

• Non-linear

Tags

CCSS.HSS.ID.B.5

What is an outlier in the context of scatter plots?

• A data point that does not fit the overall trend

• A data point that lies within a cluster

• A data point that follows the trend

• The highest data point in the plot

Tags

CCSS.8.SP.A.1

What does it mean if a scatter plot is described as linear?

• It shows a positive association only

• Data points follow the path of a curve

• Data points follow the path of a straight line

• It contains multiple clusters of data points

Tags

CCSS.HSS.ID.B.5

How can clustering be identified in a scatter plot?

• By a single data point far from others

• By a group of points forming a straight line

• By distinct groups of points separated by gaps

• By all points being evenly spaced

Tags

CCSS.8.SP.A.1

What does a non-linear scatter plot indicate about the relationship between two variables?

• The relationship is consistent across all values

• The relationship changes in intensity at different values

• The variables are inversely related

• There is no relationship between the variables

Tags

CCSS.8.F.A.3

What conclusion can be drawn from a scatter plot showing a negative association between TV watching and time spent outside?

• More TV watching leads to more time spent outside

• The data is inconclusive

• Less TV watching leads to more time spent outside

• TV watching has no impact on time spent outside

Tags

CCSS.8.SP.A.1