Choose the correct answer for each question. You must click on the link for the details of the analysis.

1. What is the maximum number of dsicriminant functions that you could calculate for these data?

   1.   ?    1
   2.   ?    2
   3.   ?    3
   4.   ?    4

2. How many significant discirminant functions were extracted?

   1.   ?    0
   2.   ?    1
   3.   ?    2

3. Which variables characterise the discriminant functions (see below for tables)?

   1.   ?    Function 1 is mainly sepal characteristics while function 2 is mainly petal characteristics.
   2.   ?    Function 1 is mainly petal characteristics while function 2 is mainly sepal characteristics.
   3.   ?    Function 1 is mainly petal characteristics while function 2 is mainly sepal and petal width.
   4.   ?    Function 1 is mainly petal characteristics while function 2 is everything except sepal length.

4. Which of the following is correct discriminant function 1 in its standardised form?

   1.   ?    score =-0.427 SEPAL_L - 0.521 SEPAL_W + 0.947 PETAL_L + 0.575 PETAL_W
   2.   ?    score = 0.427 SEPAL_L + 0.521 SEPAL_W + 0.947 PETAL_L + 0.575 PETAL_W
   3.   ?    score = 0.012 SEPAL_L + 0.735 SEPAL_W -0.401 PETAL_L + 0.581 PETAL_W
   4.   ?    score =0.706 SEPAL_L - 0.119 SEPAL_W + 0.663 PETAL_L + 0.223 PETAL_W

5. Could you use these equations with raw values for the four variables from new plants?

   1.   ?    No
   2.   ?    Yes

6. Why do the values in the structure matrix differ from the standardised canonical discriminant function coefficients?

   1.   ?    Because the structure matrix uses standardised values for the variables.
   2.   ?    Because the discriminant function coefficients assume standardised values for the variables.
   3.   ?    Because the correlation coefficients measure the correlations between the predictors, while the discriminant function coefficients measure the independent contributions of the predictors.
   4.   ?    Because the structure matrix lists correlation coefficients. The discriminant function coefficients attempt to measure the independent contribution of each variable to the discrimination (i.e. after taking into account information already 'obtained' from other predictors).

7. Which, if any, species are separated by function 1?

   1.   ?    setosa from the other two
   2.   ?    none are separated
   3.   ?    all three are separated
   4.   ?    virginica is separated from setosa

8. Which, if any, species are separated by the function 2?

   1.   ?    None
   2.   ?    All three
   3.   ?    Versicolor and virginica

9. How many cases were correctly classified overall?

   
   
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