One variableA. 3 moments, calculation and definitionB. Normal distribution density functionC. Student-t testD. R command to get the first three momentsTwo variablesA. Correlation, definitionB. Rank correlation, definitionC. Rolling or moving correlation, calculation D. R command to run correlationMulti-factor modelA. How to build a model B. A model has 4 parts C. OLS math formulaD. BLUEE. Importance of a factor (t-value) F. Model fit (R-square)G. R command to run OLSTime seriesA. Time series model, AR(1), AR(2) B. Unit root testQuantile regressionA. Median is more robust than average B. Median regression 1. One variableA. 3 moments, calculation and definitionB. Normal distribution density functionC. Student-t testD. R command to get the first three moments2. Two variablesA. Correlation, definitionB. Rank correlation, definitionC. Rolling or moving correlation, calculationD. R command to run correlation3. Multi-factor modelA. How to build a modelB. A model has 4 partsC. OLS math formulaBLUED.E. Importance of a factor (t-value)F. Model fit (R-square)G. R command to run OLS4. Time seriesA. Time series model, AR(1), AR(2)B. Unit root test5. Quantile regressionA. Median is more robust than averageB. Median regression

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

One variable

A. 3 moments, calculation and definition
B. Normal distribution density function
C. Student-t test
D. R command to get the first three moments
Two variables

A. Correlation, definition
B. Rank correlation, definition
C. Rolling or moving correlation, calculation D. R command to run correlation
Multi-factor model

A. How to build a model B. A model has 4 parts C. OLS math formula
D. BLUE

E. Importance of a factor (t-value) F. Model fit (R-square)
G. R command to run OLS
Time series

A. Time series model, AR(1), AR(2) B. Unit root test
Quantile regression

A. Median is more robust than average B. Median regression

1. One variable
A. 3 moments, calculation and definition
B. Normal distribution density function
C. Student-t test
D. R command to get the first three moments
2. Two variables
A. Correlation, definition
B. Rank correlation, definition
C. Rolling or moving correlation, calculation
D. R command to run correlation
3. Multi-factor model
A. How to build a model
B. A model has 4 parts
C. OLS math formula
BLUE
D.
E. Importance of a factor (t-value)
F. Model fit (R-square)
G. R command to run OLS
4. Time series
A. Time series model, AR(1), AR(2)
B. Unit root test
5. Quantile regression
A. Median is more robust than average
B. Median regression

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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