Q.1 Bob the Businessman has decided to take his company, LAspaceX, public. Bob is eager to make quick money and plans to sell his stocks as soon as they reach a high value. On the day LAspaceX goes public, Bob keeps track of the stock value by the minute. The recorded values are as follows:Initially (at t=0 minutes), the stock is worth $2.After 10 minutes, the stock is worth $3.After 20 minutes, the stock is worth $5.After 30 minutes, the stock is worth $6.After 40 minutes, the stock is worth $8.a) Finding the Value of the Stock Using the Least Squares MethodUsing the data provided, determine the best-fit line V(t) = mt + b that represents thevalue V of the stock in dollars after t minutes using the least squares method.You must submit your solution here using a PDF file by including the following steps:

a) Identify the variable ::− Determine the best fit line V(t)=mt+b → t is time in minutes→ V(t) is…

Answered: Q.1 Bob the Businessman has decided…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Q.1

Bob the Businessman has decided to take his company, LAspaceX, public. Bob is eager to make quick money and plans to sell his stocks as soon as they reach a high value. On the day LAspaceX goes public, Bob keeps track of the stock value by the minute. The recorded values are as follows:

Initially (at t=0 minutes), the stock is worth $2.
After 10 minutes, the stock is worth $3.
After 20 minutes, the stock is worth $5.
After 30 minutes, the stock is worth $6.
After 40 minutes, the stock is worth $8.

a) Finding the Value of the Stock Using the Least Squares Method

Using the data provided, determine the best-fit line V(t) = mt + b that represents the

value V of the stock in dollars after t minutes using the least squares method.

You must submit your solution here using a PDF file by including the following steps:

Definition Definition Probability of occurrence of a continuous random variable within a specified range. When the value of a random variable, Y, is evaluated at a point Y=y, then the probability distribution function gives the probability that Y will take a value less than or equal to y. The probability distribution function formula for random Variable Y following the normal distribution is: F(y) = P (Y ≤ y) The value of probability distribution function for random variable lies between 0 and 1.

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