# data[].attributes.body
What is the correlation coefficient for this data set?

# data[].attributes.body
Name three things that can help you determine the association between the two variables in terms of direction.

# data[].attributes.body
What does the slope mean in the context of this data.

# data[].attributes.body
What does the slope mean in the context of this data.

# data[].attributes.body
Analyze the residual plot. Is there any pattern indicating that a linear model is not the best model for this data?

# data[].attributes.body
What does the y-intercept mean in the context of this data?

# data[].attributes.body
What is the best model for this data? (Use the correlation coefficient and residual plot to support your answer.)

# data[].attributes.body
List one data point that would strengthen the correlation coefficient.

# data[].attributes.body
Name two lurking variables that may contribute to the pattern in the data displayed here.

# data[].attributes.body
Which variable is associated with y values?

# data[].attributes.body
What is the LSRL?

# data[].attributes.body
How would the LSRL change (direction and strength) if you added the point (6, 35)?

# data[].attributes.body
Pick a number between 10 and 20. Determine how many pets a person with that many siblings should have based on the model.

# data[].attributes.body
Which variable is associated with y values?

# data[].attributes.body
Which variable is associated with x values?

# data[].attributes.body
Are these two variables linked by correlation or causation?

# data[].attributes.body
Name two lurking variables that may contribute to the pattern in the data displayed here.

# data[].attributes.body
List one data point that would strengthen the correlation coefficient.

# data[].attributes.body
What does the y-intercept mean in the context of this data?

# data[].attributes.body
What is the best model for this data? (Use the correlation coefficient and residual plot to support your answer.)

# data[].attributes.body
Analyze the residual plot. Is there any pattern indicating that a linear model is not the best model for this data?

# data[].attributes.body
What does the slope mean in the context of this data.

# data[].attributes.body
Are there any outliers in this data set? Why or why not?

# data[].attributes.body
Name three things that can help you determine the association between the two variables in terms of direction.

# data[].attributes.body
How strong is the association between the two variables? (Use the correlation coefficient as evidence.)

# data[].attributes.body
What is the association between the two variables in terms of direction?

# data[].attributes.body
What is the correlation coefficient for this data set?

# data[].attributes.body
List one data point that would weaken the correlation coefficient.