Consider the technique for identifying the optimal number of aggregations (clusters) of categorical levels using PROC CLUSTER. Which of the following statements is true? a. The optimal number of clusters is determined by the "knee rule".
b. The technique explicitly uses information on the variable which would be the target in a predictive modeling analysis.
c. The technique automatically creates the dummy variables representing the optimal number of clusters.
d. The technique uses the same clustering algorithm used by Tableau to create clusters.
e. All are true

your answer is a

step-by-step explanation:

4*4*4*4=256

false

step-by-step explanation:

false.   two legs of the trapezoid would be congruent, but the other two would not.   were all the legs congruent, then we'd have a square; were the 2 shorter sides congruent and the 2 longer sides also congruent, we'd have a rectangle.

step-by-step explanation:

if you want to solve percent error follow these steps.

1. subtract the accepted value from the experimental value.

2. take the absolute value of step 1.

3. divide that answer by the accepted value.

4. multiply that answer by 100 and add the % symbol to express the answer as a percentage.

if you want to solve percent of change just do this.

1. work out the difference (increase) between the two numbers you are comparing.

2. divide the increase by the original number and multiply the answer by 100. if your answer is a negative number then this is a percentage decrease.

hope this : )

$655.61 which is option c

step-by-step explanation:

price of house =   $146,000

initial rate = 3.5%

mortgaged paid in this = 3.5 % of $146,000

                                        =

                                        =$5110

the total years would be = 7

total mortgaged paid = 7 * $5110

                                      =$35770

remaining money = $146000-35770

                                =$110230

new mortgaged payment = 5 % of 110230

                                            =  

                                            =$655.61