A popular social media platform has begun offering stockshares to the public. In the past 2 years, the price of thestock has generally increased. An investment specialistBased on the scatterplot and computer output, areasonable estimate for the stock price for week 95 is:$2.27 because y 0.0022(95) + 2.0583 = 2.2673.%3Dgathers data on the stock price during the past 2 yearsand creates an exponential model for estimating thestock price based on the number of weeks after the firstpublic offering.$9.65 because log y =0.0022(95) +2.0583 = 2.2673 ande2 2673 = 9.6533.log(Stock Price) vs. WeeksO $185.05 because log y =0.0022(95) +2.0583 =2.26732.28and 102.2673 185.05.2.262.24O $220.44 because log y =0.0030(95) +2.0583 =2.3433 and102 3433 -= 220.442 122.163 00204WeeksPredictorSE Coef0.0030CoefConstant2.0583690.10.000Weeks0.00220.000138.910.000S = 0.0085R-Sq = 98.6%R-Sq (adj) = 98.8%Stock Frica)

Given : Constant = 2.0583 Coefficient of weeks = 0.0022

Based on the scatterplot and computer output, a reasonable estimate for the stock price for week 95 is: A popular social media platform has begun offering stock shares to the public. In the past 2 years, the price of the stock has generally increased. An investment specialist gathers data on the stock price during the past 2 years $2.27 because ý 0.0022(95) + 2.0583 = 2.2673. and creates an exponential model for estimating the $9.65 because log y =0.0022(95) + 2.0583=2.2673 and stock price based on the number of weeks after the first e2 2673 -9.6533. public offering. log(Stock Price) vs. Weeks $185.05 because log y =0.0022(95) +2.0583 =2.2673 2.28 and 1022673 – 185.05. 2.26 2.24 $220.44 because log y =0.0030(95) +2.0583 =2.3433 and 102 3433 - = 220.44 A 2 12 2.16 204 Weeks Predictor Coef SE Coef 0.0030 Constant 2.0583 690.1 0.000 Weeks 0.0022 0.0001 38.91 0.000 Stock Fric)

Based on the scatterplot and computer output, a reasonable estimate for the stock price for week 95 is: A popular social media platform has begun offering stock shares to the public. In the past 2 years, the price of the stock has generally increased. An investment specialist gathers data on the stock price during the past 2 years $2.27 because ý 0.0022(95) + 2.0583 = 2.2673. and creates an exponential model for estimating the $9.65 because log y =0.0022(95) + 2.0583=2.2673 and stock price based on the number of weeks after the first e2 2673 -9.6533. public offering. log(Stock Price) vs. Weeks $185.05 because log y =0.0022(95) +2.0583 =2.2673 2.28 and 1022673 – 185.05. 2.26 2.24 $220.44 because log y =0.0030(95) +2.0583 =2.3433 and 102 3433 - = 220.44 A 2 12 2.16 204 Weeks Predictor Coef SE Coef 0.0030 Constant 2.0583 690.1 0.000 Weeks 0.0022 0.0001 38.91 0.000 Stock Fric)

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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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

A popular social media platform has begun offering stock
shares to the public. In the past 2 years, the price of the
stock has generally increased. An investment specialist
Based on the scatterplot and computer output, a
reasonable estimate for the stock price for week 95 is:
$2.27 because y 0.0022(95) + 2.0583 = 2.2673.
%3D
gathers data on the stock price during the past 2 years
and creates an exponential model for estimating the
stock price based on the number of weeks after the first
public offering.
$9.65 because log y =0.0022(95) +2.0583 = 2.2673 and
e2 2673 = 9.6533.
log(Stock Price) vs. Weeks
O $185.05 because log y =0.0022(95) +2.0583 =2.2673
2.28
and 102.2673 185.05.
2.26
2.24
O $220.44 because log y =0.0030(95) +2.0583 =2.3433 and
102 3433 -
= 220.44
2 12
2.16
3 00
204
Weeks
Predictor
SE Coef
0.0030
Coef
Constant
2.0583
690.1
0.000
Weeks
0.0022
0.0001
38.91
0.000
S = 0.0085
R-Sq = 98.6%
R-Sq (adj) = 98.8%
Stock Frica)

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