Calculate Expected rate of return on portfolio basis of the following companies accorgieg, to is investment weights: Company APPLE Expected Return Beta 12% 1.5 McDonalds RENAULT 13% 1.1 11% 15% 1.3 1.9 Samsung Total investment in the above me
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Calculate Expected rate of return on portfolio basis of the following companies accorgieg, to is investment weights:
Company
APPLE
Expected Return Beta
12%
1.5
McDonalds
RENAULT
13%
1.1
11%
15%
1.3
1.9
Samsung
Total investment in the above mentioned portfolio is 5000,000 dollars. 1.5 million is invested in
APPLE, 2.0 million in McDonalds, 1,5 million in RENAULT and rest in Samsung, ) Explain the concept of Coefficient Beta and its importance in CAPM?
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- MAA MATHEMATICAL ASSOCIATION OF AMERICA webwork / m1401-93-sp21 / chapter_12 /3 Chapter 12: Problem 3 Previous Problem Problem List Next Problem (1 point) Use a scatterplot and the linear correlation coefficient r to determine whether there is a correlation between the two variables. (Note: Use software, and don't forget to look at the scatterplot!) x0.1 1.7 2.3 3.5 4.9 5.76.87.4 8.5 9.2 10.9 11.5 12.3 13.2 14.7 y 13.1 12.2 10.9 10 11.2 7.7 9.8 8.3 5.8 3.8 6 4.7 1.1 1.6 2.2 (a) r = (b) There is OA. a nonlinear correlation between x and y OB. a negative correlation between x and y OC. a positive correlation between x and y OD. no correlation between x and y OE. a perfect negative correlation between x and y OF. a perfect positive correlation between x and y ote: You can earn partial credit on this problem. Preview My Answers Submit Answers pu have attempted this problem 5 times. pur overall recorded score is 50%. pu have unlimited attempts remaining.Examinee “A” in the C.E. Board Exam obtain scores of 80% in Design and Construction which weighted 35%, 49% in Mathematics and Surveying which is weighted 35%, and 88% in Geotechnical Engineering and Hydraulics which has a weight of 30%. What shall be the overall rating of “A” and does he pass the exam granting that passing mark in the C.E. Board set by PRC is 70%. Why?Question 6 of 7 > -/1 E View Policies Current Attempt in Progress The following data set lists the number of women from each of 10 different countries who were on the Rolex Women's World Golf Rankings Top 25 list as of March 31, 2009. The data, entered in that order, are for the following countries: Australia, Brazil, England, Japan, Korea, Mexico, Norway, Sweden, Taiwan, and the United States. 2 1 1 2 9 1 1 2 2 4 a. Calculate the mean and median for these data set. Мean %3D i Median = i b. Identify the outliers in this data set. Write your answers in ascending orders. Outliers = i and i Drop the outliers and recalculate the mean and median. Mean = i Median = i Which of these two summary measures changes by a larger amount when you drop the outliers? c. Which is the better summary measure for these data, the mean or the median? Explain. The is a better measure because it as sensitive to the outliers as the other one.
- The consumption function captures one of the key relationships in economics. It expresses consumption as a function of disposal income, where disposable income is income after taxes. The attached file "Regression-Dataset1" shows data of average US annual consumption (in $) and disposable income (in $) for the years 2000 to 2016. a)what is the Pearson correlation value between income and consumption? Select one: Ⓒa. 0.978 b. 0.109 c. None of the above d. 0.791State University has increased its tuition for in-state and out-of-state students in each of the past 5 years to offset cuts in its budget allocation from the state legislature. The university administration always thought that the number of applications received was independent of tuition; however, drops in applications and enrollments the past 2 years have proved this theory to be wrong. University admissions officials have developed the following relationships between the number of applicants who accept admission and enter State and the cost of tuition per semester (in-state) (out-of-state) The university would like to develop a planning model that will indicate the in-state and out-of-state tuitions, as well as the number of students that could be expected to enroll in the freshman class. The university doesn’t have enough classroom space for more than 1,400 freshmen, and it needs at least 700 freshmen to meet all its class-size x2 = 35,000 - 6t2 x1 = 21,000 - 12t1 (xi) (ti):…A multiple regression predicting tech salaries obtains an insignificant (zero) coefficient on age and a significantly negative coefficient on being foreign-born. A simple regression of tech salaries on age obtains a significantly positive coefficient on age. These results can be explained if Group of answer choices a) the simple regression coefficient is unbiased. b) foreign-born tech workers tend to be older than non-foreign-born. c) foreign-born tech workers tend to be younger than non-foreign-born. d) age is unrelated to being foreign-born.
- 1. It has been noted that there is a positive correlation between the U.S. economy and the height of women's hemlines (distance from the floor of the bottom of a skirt or dress) with shorter skirts corresponding to economic growth and lower hemlines to periods of economic recession. Comment on the conclusion that economic factors cause hemlines to rise and fall. # of Absences (in weeks) Exam Grade 1 2 345 23 014 90 85 95 92 80Insurance (Life Expectancy). Insurance companies base their premiums on many factors, but basically all the factors are variables that predict life expectancy. Life expectancy varies from place to place. The following variables are from a data set on various measures obtained from the 50 US states (around 2009) Murder: rate per 100,000 HS Graduation: recorded as a percentage Income: per capita income in dollars Illiteracy: rate per 1,000 Life Expectancy: recorded in years 2008 Electoral vote state color: red / blue State electoral vote color coded: red = 1 / blue = 0 Multiple linear regression results: See Attachments please Write the multiple linear regression equation, use this equation to predict the Life expectancy for Pennsylvania and calculate the residual. Data: State Name Life Expectancy Murder HS Grad Income Illiteracy ColorCode Color Alabama 69.05 15.1 41.3 3624 2.1 1 red Alaska 69.31 11.3 66.7 6315 1.5 1 red Arizona 70.55 7.8 58.1 4530 1.8 1 red Arkansas…You were asked to help with analysis of birth weights (BW) of 10,000 infants born in NYC during a certain period of time. The aim of the analysis is to see whether the birth weights of the infants are associated with mothers AGE at birth (continuous variable in years) and mothers smoking status (the maternal smoking status MSS contains 4 categories “Non-smoker”, “Past-smoker”, “Passive-smoker”, “Smoker”) and NYC boroughs (the BOROUGH variable contains 5 categories “Manhattan”, “Bronx”, “Brooklyn”, “Queens” and “State Island”). Write down the population model that assumes the effect of mother’s AGE at birth on infant weight BW is DIFFERENT for different levels of maternal smoking status (MSS) when adjusted for BOROUGH variable. Specify the name of each predictor in the model and/or what it means. Make sure that it is clear what each predictor means.
- A study is conducted to investigate the association between income level and political party affiliation in the USA. Income level has 5 levels: Lowest (lowest 20-th percentile), low, middle, high, and very high (top 20-th percentile). Political party has 3 categories: Democratic (D), Independent (I), and Republican (R). A baseline category logit multinomial is fit on the 3 response categories using covariate of income level as ordinal (with scores 1, 2, 3, 4, and 5 for the categories lowest, low, middle, high and very high respectively). Base category of response is Independent. The fitted model is log(ˆπD/πˆI ) = 3.3 − 0.2x and log(ˆπR/πˆI ) = 1.0 + 0.3x, where x=1,2,3,4,5 (poverty levels as numeric/ordinal), πD is the probability of being Democrat, πI is the probability of being Independent, and πR is the probability of being Republican. a. Comparing the chances/probability of being Republican to Independent, interpret the effect of income level increases on the odds (of being…District Assessment of Topic / X K Scruz 00683 - G7M3 Topic A.pdf x b web.kamihq.com/web/viewer.html?state=%7B"ids"%3A%5B"1Fu-ewnjY8-E2hmPAR-e9hoqlfqx4hF4a"%5D%2C"action"%3.. C K E U-46 Links O History random - Soundtrap Imported O homework H Dashboard | Tinker. A Canton Middle Sch. Other bookmarks E Reading list Kami Student Edu O A 7th MATH - St.. SCruz 00683 - G7M3 Topic A.pdf 112% Submit So * Select Montserrat 18px 1.5pt : в I U A A O x, x2 Dictionary Read Aloud 3. Subtract: (4х + 7) — (18х — 2) A Markup 22x - 5 Comment ** T Text Box 18 - ÷ Equation Drawing Shapes Eraser 4. Write the expression below as a product of two factors. 9m + 15n - 6 Add Media Signature Page 1 /3 Sign out INTL 1 10:28A statistical program is recommended. A company provides maintenance service for water-filtration systems throughout southern Florida. Customers contact the company with requests for maintenance service on their water-filtration systems. To estimate the service time and the service cost, the company's managers want to predict the repair time necessary for each maintenance request. Hence, repair time in hours is the dependent variable. Repair time is believed to be related to three factors, the number of months since the last maintenance service, the type of repair problem (mechanical or electrical), and the repairperson who performed the service. Data for a sample of 10 service calls are reported in the table below. ŷ = Repair Time in Hours 2.9 3.0 ŷ = 4.8 1.8 2.4 4.9 4.7 4.8 4.4 4.5 Months Since Last Service 2 6 8 3 2 7 9 8 4 6 Type of Repair Electrical Mechanical Electrical Mechanical Electrical Electrical Mechanical Mechanical Electrical Electrical Repairperson Dave Newton Dave…
