Please answer all, multiple part questions

The following table displays the weights for computing the principal components and the data for two Observations. The mean and standard deviation for x₁ are 4.2 and 1.4, respectively. The mean and standard deviation for x₂ are 6.8 and 4.8, respectively. Compute the first principal component score for Observation 1.

Weights	PC1
x1	0.72
x2	0.85
	x1	x2
Observation 1	4.45	12.08
Observation 2	4.56	8.62
Variance	3.36
Variance Percentage	78.323221

Multiple Choice

• 0.293

• 0.742

• 0.949

• 0.612

  When a predictive model is made overly complex to fit in the quirks of given sample data, it is called ______.

  Multiple Choice

• oversampling

• overfitting

• partitioning

• distribution

  The process of dividing a data set into a training, a validation, and an optimal test data set is called ________.

  Multiple Choice

• overfitting

• oversampling

• optional testing

• data partitioning

  Consider the partial data set in the table represents online hours spent shopping by age and income. Using the min-max transformation to normalize Income, what is the average standard deviation of Income for the chart provided? Use the min-max transformation to normalize the observations for Income spent online.

  ID	Income	Age	Online Hours
  2201	62,000	48	2
  2202	58,000	52	4
  2203	53,000	44	5
  2204	22,000	28	7
  2205	43,000	33	4
  2206	48,000	35	3
  Multiple Choice 1 6417 0 0.6997