Last day!

Practical Computing and Data Science Tools

Agenda

• Quiz 11 results
• Academic trajectory
• Final project help

Quiz 11: Perceptions of learning

Recall “Quiz” 11

Some data

As a linear model

\[ y_i = \beta_0 + \beta_1 \cdot x_i + \epsilon_i \]

where \(y_i\) is the final grade for the \(i\)th student in the class, and \(x_i\) is the attendance rate of the \(i\)th student in the class.

• We estimate \(\beta_0\) and \(\beta_1\), the intercept and slope of the “best fit” line.
• We also calculate \(R^2\), the proportion of variance in the student’s final grade that can be explained by attendance.

As a linear model

• The estimate of the intercept: \(\hat \beta_0 = 0.305\),
• The estimate of the slope: \(\hat \beta_1 = 0.676\),
• The proportion of variance explained by attendance: \(R^2 = 0.699 \approx 0.7\)

As a linear model

Trajectory

Where’d you come from?

Where are you going?

Where can you take more data science classes?

Thank you for a wonderful semester!

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