Adriana analyzed data on schools' winning percentages and head coaches' salaries from 2000 to 2011, creating a scatter plot with a trend line. The video discusses specific data points, outliers, and the linear correlation between salary and winning percentage. It explains the Y-intercept's meaning and critiques the model's assumptions, emphasizing skepticism, especially in extreme cases.

What data did Adriana gather for her analysis?

• Schools' winning percentages and head coaches' salaries

• Schools' student enrollment numbers

• Schools' annual budgets

• Schools' graduation rates

What does each data point in the scatter plot represent?

• A school's annual budget

• A coach's salary and winning percentage

• A school's graduation rate

• A student's test score

What type of correlation does the trend line suggest?

• Positive linear correlation

• Exponential correlation

• No correlation

• Negative linear correlation

What does the Y-intercept of the trend line indicate?

• A coach with a $0 salary would have a 39% winning percentage

• The average salary of coaches

• The average winning percentage of schools

• The slope of the trend line

Why should we be skeptical of models, according to the video?

• Models are unnecessary for data analysis

• Models can be perfect in all cases

• Models are always accurate

• Models may not be accurate in extreme cases