Faker is an Esports gamer and an investor at the same time. His portfolio primarilytracks the performance of Tesla and Fakerhe wants to add the stock of GameStopCorp. (GME). Before adding GME to his portfolio, Faker wants to assess thecorrelation between the stock and Tesla to ensure that adding the stock won'tincrease the systematic risk of his portfolio. To find the coefficient, Faker gathers thefollowing prices for the last five years:TESLAGME201771.322.2201879.616.5201951.49.52020489.612.720211033.42183.3What should be Faker's decision?Tesla and GME have a high positive correlation. He should not add GME to his portfoliobecause it will increase the level of systematic risk.Tesla and GME have a high negative correlation. He should not add GME to his portfoliobecause it will increase the level of systematic risk.Tesla and GME have a high positive correlation. He should add GME to his portfolio becauseit will increase the level of systematic risk.Tesla and GME have a high negative correlation. He should add GME to his portfolio becauseit will increase the level of systematic risk.

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Answered: Faker is an Esports gamer and an…

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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100 patients with lung cancer and 100 patients without lung cancer were enrolled in a study. They were questioned about tobacco use over the past 20 years. 80 of the lung cancer patients reported smoking as did 20 of the patients without cancer. Find the odd ratio and interpret that number
In general, a zero correlation means as the values of one variable increase, there is a tendency for the values of the other variable also to increase. as the values of one variable increase, there is a tendency for the values of the other variableto decrease. as the values of one variable increase, there is no tendency for the values of the other variable to change in any consistent, predictable fashion. as the values of one variable decrease, there is a tendency for the values of the other variable also to decrease.
Each year forbes ranks the world’s most valuable brands. A portion of the data for 82 ofthe brands in the 2013 forbes list is shown in Table 2.12 (forbes website, february, 2014).The data set includes the following variables:brand: The name of the brand.Industry: The type of industry associated with the brand, labeled Automotive& Luxury, Consumer Packaged Goods, financial Services, Other, Technology.brand Value ($ billions): A measure of the brand’s value in billions of dollarsdeveloped by forbes based on a variety of financial information about the brand.1-Yr Value Change (%): The percentage change in the value of the brand over theprevious year.brand Revenue ($ billions): The total revenue in billions of dollars for the brand.a. Prepare a crosstabulation of the data on Industry (rows) and brand Value ($ billions).Use classes of 0–10, 10–20, 20–30, 30–40, 40–50, and 50–60 for brand Value($ billions).b. Prepare a frequency distribution for the data on Industry.
Explain what correlation is and why two variables might be described as having a negative correlation. Age and education: A survey of U.S. adults showed that there is a negative correlation between age and education level. Does this mean that people become less educated as they become older? why or why not?
The following table was generated from the sample data of 1010 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1x1) is the number of hours unsupervised each night, and the second independent variable (x2x2) is the number of hours of video games each night. Coefficients Standard Error t-Stat p-value Intercept 57.968435 7.227955 8.020032 0.000201 Hours Unsupervised 5.131630 1.314283 3.904510 0.007943 Hours Playing Video Games 1.067855 1.615039 0.661194 0.533040 Write the multiple regression equation for the computer output given. Round your answers to three decimal places.
Faker is a known Esports gamer and an investor at the same time. His portfolio primarily tracks the performance of Tesla and Fakerhe wants to add the stock of GameStop Corp. (GME). Before adding GME to his portfolio, Faker wants to assess the correlation between the stock and Tesla to ensure that adding the stock won't increase the systematic risk of his portfolio. To find the coeficient, Faker gathers the following prices for the last five years: TESLA GME 2017 71.3 22.2 2018 79.6 16.5 2019 51.4 9.5 2020 489.6 12.7 2021 1033.42 183.3 What is the value of the critical Pearson correlation coefficient? Use a = 0.01
What would be the effect of an "outlier " on a correlation /regression analysis ? It will tend to decrease the strength of a relationship only if the relationship is direct . It will tend to increase the strength of a relationship only if the relationship is positive. It will tend to increase the strength of a relationship . It will tend to decrease the strength of a relationship .
In an experiment, college students were given either four quarters or a $1 bill and they could either keep the money or spend it on gum. The results are summarized in the table. Students Given Four Quarters Students Given a $1 Bill O.A.0.659 Find the probability of randomly selecting a student who spent the money, given that the student was given four quarters. OB.0.675 OC.0.292 Purchased Gum 27 14 OD.0.307 Kept the Money 13 34
The following table was generated from the sample data of 10 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1) is the number of hours unsupervised each night, and the second independent variable (x2) is the number of hours of video games each night. Coefficients Standard Error t-Stat p-value Intercept 62.711817 4.607133 13.611896 0.000010 Hours Unsupervised 0.635048 0.915495 0.693666 0.513836 Hours Playing Video Games 7.528738 1.296727 5.805955 0.001145 Copy Data Step 1 of 2: Write the multiple regression equation for the computer output given. Round your answers to three decimal places. Answer 田 Tables 国 Keypad How to enter your answer (opens in new window) Keyboard Shortcuts X +
Would A be the answer?
For each problem, select the best response. (a) In a scatterplot of the average price of a barrel of oil and the average retail price of a gallon of gasoline, you expect to see A. a positive association. B. very little association. C. a negative association. D. None of the above. (b) If the correlation between two variables is close to 0, you can conclude that a scatterplot would show A. a cloud of points with no visible pattern.B. no straight-line pattern, but there might be a strong pattern of another form. C. a strong straight-line pattern. D. None of the above. (c) You have data for many years on the average price of a barrel of oil and the average retail price of a gallon of unleaded regular gasoline. When you make a scatterplot, the explanatory variable on the x -axis A. is the price of gasoline. B. can be either oil price or gasoline price. C. is the price of oil. D. None of the above.
There are two underlying assets in an asset pool. Each has a 2.8 percentchanges of failing. You own an asset that will pay $1 unless both assets fail. Graph theprobability of your asset not paying as the correlation between the two input assets runsfrom 0.5 to 0.98. For what levels of correlation is the output asset investment grade

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