Deck 3: A Brief Overview of the Classical Linear Regression Model
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Deck 3: A Brief Overview of the Classical Linear Regression Model
1
Consider the following graphs.
A.
B.
Which of the following statements is true?
A) A is depicts a non-linear relationship between y and x
B) B is depicts a linear relationship between y and x
C) A and B depict linear and non-linear relationships between y and x respectively
D) A and B depict non-linear and linear relationships between y and x respectively
A.


Which of the following statements is true?
A) A is depicts a non-linear relationship between y and x
B) B is depicts a linear relationship between y and x
C) A and B depict linear and non-linear relationships between y and x respectively
D) A and B depict non-linear and linear relationships between y and x respectively
A and B depict linear and non-linear relationships between y and x respectively
2
The derivative of e4x-2 is:
A) 4/(4x-2)
B) (4x-2)e4
C) (4x-2)e4x-2
D) 4e4x-2
A) 4/(4x-2)
B) (4x-2)e4
C) (4x-2)e4x-2
D) 4e4x-2
4e4x-2
3
Log(1) is:
A) 1
B) 0
C) 2.71828…
D) Undefined
A) 1
B) 0
C) 2.71828…
D) Undefined
0
4
What is the second order derivative of the function ? 
A)
B)
C)
D)

A)

B)

C)

D)

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5
The linear relationship between two variables (y and x) can be represented by the equation. Which of the following statements is true?
(I) Parameter a is termed the intercept
(II) Parameter a is termed the slope
(III) Parameter b is termed the gradient
(IV) Parameter b is termed the constant
A) I and IV only
B) I and III only
C) II and III only
D) II and IV only

(II) Parameter a is termed the slope
(III) Parameter b is termed the gradient
(IV) Parameter b is termed the constant
A) I and IV only
B) I and III only
C) II and III only
D) II and IV only
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6
If A is of dimension 1 * 4 and B is of dimension 4 * 1, what is the most accurate term to describe the result of the matrix multiplication AB?
A) A scalar
B) A column vector
C) A row vector
D) A matrix
A) A scalar
B) A column vector
C) A row vector
D) A matrix
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7
The derivative of log(5x) is:
A) 5/x
B) 1/x
C) 5log(x)
D) 5/log(x)
A) 5/x
B) 1/x
C) 5log(x)
D) 5/log(x)
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8
Assume that the relationship between a company's stock price (y) and dividends paid per share (x) is linear. If the slope of the equation is 0.50 and the intercept is 30, what would be the expected stock price if the dividend paid was 3?
A) 33
B) 30.50
C) 31.5
D) 30
A) 33
B) 30.50
C) 31.5
D) 30
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9
If matrices and, what is AB?

A)
B)
C)
D)


A)

B)

C)

D)

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10
The simplest possible way of writing 3x5 * 7x3 is:
A) 21 x5 * x3
B) 21 x15
C) 21x8
D) 21x53
A) 21 x5 * x3
B) 21 x15
C) 21x8
D) 21x53
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11
Which of the following values are closes to the roots of the following quadratic equation: ? 
A) 0 and 4
B) 1 and 4
C) 0.5 and 3
D) 0.3 and 3.7

A) 0 and 4
B) 1 and 4
C) 0.5 and 3
D) 0.3 and 3.7
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12
is equal to: 
A) 5y
B) y
C) y5
D) 5y5

A) 5y
B) y
C) y5
D) 5y5
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13
Another way of writing elog(x) is:
A) 1
B) log(x)
C) ex
D) x
A) 1
B) log(x)
C) ex
D) x
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14
What are the roots of the equation y = 2x2 + 2x - 4?
A) -2 and 1
B) -1 and 2
C) -2 and 2
D) -2 (repeated)
A) -2 and 1
B) -1 and 2
C) -2 and 2
D) -2 (repeated)
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15
A)
B)
Which of the following statements is true about graph (A) above?
A) The intercept of the graph is positive and its slope is negative
B) The intercept of the graph is negative and its slope is positive
C) Both the intercept and slope of the graph are positive
D) It is impossible to say anything about the intercept and slope without seeing the mathematical equation


Which of the following statements is true about graph (A) above?
A) The intercept of the graph is positive and its slope is negative
B) The intercept of the graph is negative and its slope is positive
C) Both the intercept and slope of the graph are positive
D) It is impossible to say anything about the intercept and slope without seeing the mathematical equation
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16
"x to the power 3" could be written:
A) 3x
B) 3x3
C) x3
D) 3x * 3x * 3x
A) 3x
B) 3x3
C) x3
D) 3x * 3x * 3x
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17
What are the roots of the equation y = x2 + 2x - 6 closest to?
A) -4 and 2
B) -3.65 and 1.65
C) -7.3 and 3.3
D) Both complex
A) -4 and 2
B) -3.65 and 1.65
C) -7.3 and 3.3
D) Both complex
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18
The rank of matrices A and B from the previous question are:
A) 1 and 2, respectively
B) 2 and 1, respectively
C) 1 and 3, respectively
D) 3 and 1, respectively
A) 1 and 2, respectively
B) 2 and 1, respectively
C) 1 and 3, respectively
D) 3 and 1, respectively
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19
Writing out all the terms in the expression would lead to: 
A) x11 + x12 + x21 + x22
B) x11 + x12 +x21 + x22
C) x1 + x2
D) x11 + x22

A) x11 + x12 + x21 + x22
B) x11 + x12 +x21 + x22
C) x1 + x2
D) x11 + x22
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20
What is the (first order) derivative of the function ? 
A)
B)
C)
D)

A)

B)

C)

D)

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21
For two conformable matrices A and B, expanding the parentheses of (AB)-1 gives:
A) A-1B-1
B) B-1A-1
C) BA
D) AB
A) A-1B-1
B) B-1A-1
C) BA
D) AB
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22
The point where the capital market line is tangential to the efficient frontier is
A) The point where the portfolio returns are minimised
B) The point where the portfolio returns are maximised
C) The point where the portfolio's Sharpe ratio is minimised
D) The point where the portfolio's Sharpe ratio is maximised
A) The point where the portfolio returns are minimised
B) The point where the portfolio returns are maximised
C) The point where the portfolio's Sharpe ratio is minimised
D) The point where the portfolio's Sharpe ratio is maximised
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23
What is the inverse of matrix ? 
A)
B)
C)
D)

A)

B)

C)

D)

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24
Consider the following two graphs:
A.
B.
Which of the following statements is true if A represents a normal distribution?
(I) The skewness of the distribution plot A is 0 and its kurtosis is 3
(II) The skewness of the distribution plot B is 0 and its kurtosis is 3
(III) The excess kurtosis of the distribution plot A is 3
(IV) The excess kurtosis of the distribution plot B is 0
A) Both (I) and (III) are true
B) Only (III) is true
C) Only (I) is true
D) Both (I) and (IV) are true
A.


(I) The skewness of the distribution plot A is 0 and its kurtosis is 3
(II) The skewness of the distribution plot B is 0 and its kurtosis is 3
(III) The excess kurtosis of the distribution plot A is 3
(IV) The excess kurtosis of the distribution plot B is 0
A) Both (I) and (III) are true
B) Only (III) is true
C) Only (I) is true
D) Both (I) and (IV) are true
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25
The rank of a square matrix is also:
A) The product of the eigenvalues
B) The sum of the eigenvalues
C) The number of non-zero eigenvalues
D) The number of correlated rows or columns
A) The product of the eigenvalues
B) The sum of the eigenvalues
C) The number of non-zero eigenvalues
D) The number of correlated rows or columns
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26
Consider the following data series: 11, 10, 6, 8, 4, 3, 7. What is its semi-interquartile range of this series?
A) 6
B) 5
C) 4
D) 3
A) 6
B) 5
C) 4
D) 3
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27
The central limit theorem states that
A) The sampling distribution of the mean of any random sample of observations will tend towards the normal distribution with mean equal to the population mean as the sample size tends to infinity
B) The sampling distribution of the mean of any random sample of observations will tend towards the normal distribution with mean equal to the population mean as the sample size tends to zero
C) The cumulative distribution function of the mean of any random sample of observations will tend towards the normal distribution with mean equal to the population mean as the sample size tends to infinity
D) The probability distribution function of the mean of any random sample of observations will tend towards the normal distribution with mean equal to the population mean as the sample size tends to infinity
A) The sampling distribution of the mean of any random sample of observations will tend towards the normal distribution with mean equal to the population mean as the sample size tends to infinity
B) The sampling distribution of the mean of any random sample of observations will tend towards the normal distribution with mean equal to the population mean as the sample size tends to zero
C) The cumulative distribution function of the mean of any random sample of observations will tend towards the normal distribution with mean equal to the population mean as the sample size tends to infinity
D) The probability distribution function of the mean of any random sample of observations will tend towards the normal distribution with mean equal to the population mean as the sample size tends to infinity
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28
The trace of matrix C is
A) 9
B) 8
C) 7
D) 6
A) 9
B) 8
C) 7
D) 6
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