Review Ch1,2 Statistical Learning

What the difference between Wage Dataset, Stock Market Dataset, Gene Expression Dataset

• Wage Dataset can be used to predict man's wage.

  Stock Market Dataset to predict stock performance. Gene Expression Dataset to cluster their characteristic

• Wage using regression

  Stock market using classification

  Gene expression using clustering

• Wage and Stock market data have input and output variabel. Gene expression does not have

• Wage and Stock market data does not have input and output variabel. Gene expression have

Segregate groups with similar traits and assign them into clusters refers to

• classification

• regression

• clustering

• reinforcement learning

According to the matrix, what is n and p?

• n is sample and p is variable index

• n is variabel index an p is sample

• n is rows and p is columns

• n is columns and p is rows

What is the result, if we calculate A.B.

*Answer with the order row. You can write matrix A as 1 2 3 4 and matrix B as 5 6 7 8. You can type your result with example order

What is the result, if we calculate A+B.

*Answer with the order row. You can write matrix A as 1 2 3 4 and matrix B as 5 6 7 8. You can type your result with example order

In the below, what option are true

• matrix will be denoted using bold capital font

• scalars will be denoted using lower case normal font

• vectors will be denoted using lower case normal font

In the advertising data, we have tv, radio and newspaper as the media. What is the goal for the advertising data?

• direcly increase sales of the product

• control the advertising expenditure

• determine what association between advertising and sales

• predict sales on the basis of the tree media budgets

There are two main reasons why we estimate f. There are prediction and inference. What option in the below is refers to prediction

• reducible error and irreducible error

• expected value

• relationship between the response and each predictor

• predict the response using the predictors

We can estimate f using parametric methods and non parametric methods.

• True

• False

When the flexibility increase, the interpretability will be

• increase

• decrease

• random