A drawback of Euclidean distance is that it is limited to two dimensions.

k-nearest neighbours with k = n (where n is the number of observations in the data set) yields more complex decision boundaries than 1-nearest neighbours.

In Exercise 8.5, how would you describe the relationship between weight and height of students?

Which one of the following can be used to quantify the strength and direction of the linear relationship between two numeric variables? 

Suppose an estimated least squares regression line was calculated as

estimated y = 2x + 1

Which of the following is the correct interpretation of the slope coefficient?

In Exercise 8.3 you were asked to calculate an RSS value for a specific data set.

Enter your calculated value here (correct to 1 decimal place).

The least squares regression line is the line for which the residual sum of squares is at a maximum.

Which of the following is not one of the assumptions about the error term in a linear regression model?

In Exercise 8.6 you were asked to estimate a weight. Enter your estimated value here (correct to two decimal places).

Correlation does not imply causation.