Unit 6 Review (Algebra 1B)

Which of the following best describes the difference between correlation and causation?

• Correlation always means one variable directly causes another

• Causation requires a perfect statistical relationship

• Correlation suggests a relationship, but does not prove direct causation

• Causation can only be determined through experimental design

When analyzing a scatter plot, a negative linear relationship means:

• As one variable increases, the other decreases

• The data points form a perfect straight line

• There is no relationship between variables

• The variables are completely independent

In a two-way frequency table, the conditional relative frequency helps you understand:

• Total population size

• The probability of an event within a specific group

• Random sampling techniques

• Data collection methods

Which statistical measure helps determine how well a linear regression model fits data?

• Mean

• Median

• Correlation coefficient

• Standard deviation

When interpreting a residual plot, what indicates a reliable linear model?

• Points clustered in a clear pattern

• Points randomly distributed around zero

• All points above the line

• Extreme outliers

What does the slope in a line of best fit represent?

• The y-intercept

• The rate of change between variables

• Total data points

• Measurement error

If a scatter plot shows a weak correlation, this means:

• There is no relationship between variables

• The relationship is not strong or consistent

• The data is perfectly linear

• More data collection is needed

Which method helps determine if a data set follows a linear trend?

• Bar graph

• Pie chart

• Scatter plot

• Histogram

In a conditional probability scenario, what does "given" mean?

• Completely certain

• Restricted to a specific condition or subset

• Mathematically impossible

• Randomly selected

How can you determine if a linear regression model is reliable?

• By looking at the correlation coefficient

• By counting total data points

• By using only positive numbers

• By ignoring outliers