Assuming the following table of the cost (X) and selling (Y) price of flight tickets in dollars ($): Cost Price (X) 200 Sell Price (Y) 300 230 250 500 510 540 700 670 730 320 500 190 412 280 355 625 635 Compute the following: 1. Plot a scatter plot of the data (manual plot or use any software like excel). (2 marks) 2. Pearson correlation coefficient (r). 3. The relation type and strength. 4. Linear regression formula (9, B, +BX,). 5. The estimated of the ticket selling price when the cost is $500. 6. The error of the ticket selling price estimate when the cost is $500. 7. What is the percent of cost price variable interpret the variation of sell price variable (How much the coefficient of determination)? (2 marks) (Imark) (2 marks) (I mark) (I mark) (I mark)

Assuming the following table of the cost (X) and selling (Y) price of flight tickets in dollars ($): Cost Price (X) 200 Sell Price (Y) 300 230 250 500 510 540 700 670 730 320 500 190 412 280 355 625 635 Compute the following: 1. Plot a scatter plot of the data (manual plot or use any software like excel). (2 marks) 2. Pearson correlation coefficient (r). 3. The relation type and strength. 4. Linear regression formula (9, B, +BX,). 5. The estimated of the ticket selling price when the cost is $500. 6. The error of the ticket selling price estimate when the cost is $500. 7. What is the percent of cost price variable interpret the variation of sell price variable (How much the coefficient of determination)? (2 marks) (Imark) (2 marks) (I mark) (I mark) (I mark)

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

Assuming the following table of the cost (X) and selling (Y) price of flight tickets in dollars ($):
Cost Price
(X)
Sell Price
(Y)
200
300
230
250
500
510
540
700
670
730
320
500
190
412
280
355
625
635
Compute the following:
1. Plot a scatter plot of the data (manual plot or use any software like excel). (2 marks)
2. Pearson correlation coefficient (r).
3. The relation type and strength.
4. Linear regression formula (9, = Bo +B,X,).
5. The estimated of the ticket selling price when the cost is $500.
6. The error of the ticket selling price estimate when the cost is $500.
7. What is the percent of cost price variable interpret the variation of sell price variable
(How much the coefficient of determination)?
(2 marks)
(Imark)
(2 marks)
(I mark)
(I mark)
(I mark)

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