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DSC1630 Assignment 4 (COMPLETE ANSWERS) Semester 2 2024 (234769) - DUE 26 September 2024 R46,65   Add to cart

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DSC1630 Assignment 4 (COMPLETE ANSWERS) Semester 2 2024 (234769) - DUE 26 September 2024

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DSC1630 Assignment 4
(COMPLETE ANSWERS)
Semester 2 2024 (234769) - DUE
26 September 2024
100% GUARANTEED

, DSC1630 Assignment 4 (COMPLETE ANSWERS)
Semester 2 2024 (234769) - DUE 26 September 2024
Question 1 Complete Mark 1.00 out of 1.00 QUIZ Sophie
wants to buy the Ever-so-Young shop around the corner.
The following cash fl ows are involved Time in years Cash
fl ows (R) 2 200 000 3 –500 000 7 700 000 8 850 000 9 –
210 000 Sophie can borrow money at 19% per annum
while she can invest at 17,5% per annum. The present
value of the cash outfl ows is a. R340 590,94. b. R357
407,06. c. R524 888,51. d. R535 703,05. Question 2
Complete Mark 1.00 out of 1.00 Question 3 Complete
Mark 1.00 out of 1.00 The following is the price equation
for Bond 733: The yearly yield to maturity is a. 7,87%. b.
15,74%. c. 16,55%. d. 19,39%. 96, 80770 = 7, 5a1¬5 i +
32, 09888 An estate agent suspects that a linear
relationship exists between the number of houses sold ( y
) and the monthly loan payments ( x ). Heanalyses the
following data over the past fi ve months: Monthly
loanpayments inR1 000's ( x ) Number of housessold ( y )
3,7 16 5,6 25 7,5 80 18,9 45 28,4 12 The slope of the
linear regression line is approximately a. −0,66. b. −0,25.
c. −0,09. d. 10,53. Question 4 Complete Mark 1.00 out of
1.00 Question 5 Complete Mark 1.00 out of 1.00 Question
6 Complete Mark 1.00 out of 1.00 An estate agent
suspects that a linear relationship exists between the
number of houses sold ( y ) and the monthly loan
payments ( x ). Heanalyses the following data over the
past fi ve months: Monthly loanpayments inR1 000's ( x )
Number of housessold ( y ) 3,7 16 5,6 25 7,5 80 18,9 45
28,4 12 The correlation coeffi cient is approximately a.
−0,66. b. −0,25. c. −0,09. d. +1,40. The standard
deviation is a. the square root of the variance. b. a
measure of variability. c. an approximate indicator of how

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