5. (i) Show that the chance that an exponentially distributed variable takes on a value below its mean is more than 60% and that the chance that the value will be below half Tof the mean is almost 40%. (ii) When are exponentially distributed interarrival (service) times reasonable / unrea- sonable for a queuing system?
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- You were asked to help with an 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), mothers’ current HOUSING status (“own” and “not-own”; “own” is the reference group), and NYC boroughs (the BOROUGH variable contains 5 categories “Manhattan”, “Bronx”, “Brooklyn”, “Queens” and “Staten Island”; “Manhattan” is the reference group). Write down the population model that estimates the effect of mother’s AGE on BW while adjusting for mother’s current HOUSING status. If you use dummy or binary variables, specify what they mean. Write down the population model that estimates the effect of mother’s AGE on BW while adjusting for mother’s current HOUSING status and BOROUGH. If you use dummy or binary variables, specify what they mean. Write down the population model that estimates the effect of mother’s AGE…Shelia’s doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if her glucose level is above 136 milligrams per deciliter (mg/dl) one hour after ingesting a sugary drink. Shelia’s measured glucose level one hour after the sugary drink varies according to the Normal distribution with μ = 125 mg/dl and σ = 11 mg/dl. a)What are the mean and standard deviation of the distribution of sample proportion if measurements are made instead on 40 separate days? b)If measurements are made on 40 separate days and the mean result is compared with the criterion 140 mg/dl, what is the probability that Shelia is diagnosed as having gestational diabetes? c)Let’s consider what could happen if we took 40 separate measurements from Shelia. What is the blood glucose level L such that the probability…13. In the regression equation Log(Cars_Sold) = 1500 + 2.3*Advertisement, what is the most appropriate interpretation of the slope coefficient? OA. a. $1 increase in advertisement, increases cars sold by 230% O B. b. $1 increase in advertisement increases cars sold by 2.3 OC. c. 1% increase in advertisement increases cars sold by 0.023 OD. d. 1% increase in advertisement increases cars sold by 230%
- The object in linear regression is to obtain an equation of a curve that minimizes the sum of squared vertical deviations of data points from the line. true or false?Suppose we obtain data on prices of big-screen televisions and estimate the following model: In(Price) = 4.06 + 0.06 * Size +0.23 * Wide + 0.34 * Plasma + 0.21 * LCD+0.09 * Memory where the dependent variable has been transformed, Size is the screen size measured in inches, Wide is a dummy variable equal to one if the television is a widescreen, Plasma is a dummy variable equal to one if the television is a Plasma screen, LCD is equal to one if the television is an LCD screen, and Memory is a dummy variable equal to one if the television has any memory card slots. What is the estimated price of a 42" Widescreen Plasma television with 2 memory card slots? Select one: O a. 7.24 O b. 7.33 1525.38 O d. 1394.09 • e 1881.83 Clear my choiceThe R-squared of a regression of an asset’s excess returns against a multi-factor asset pricing model indicates the proportion of the asset’s total volatility that is non-systematic. True False
- 24. A bivariate regression was conducted to determine the time to failure (seconds) based on the number of push-ups conducted, what term describes when the line of best fit crosses the vertical axis? Outlier Y-intercept Intercept4. Movements along versus shifts of demand curves Consider the market demand for chicken wings. Complete the following table by indicating whether an event will cause a movement along the demand curve for chicken wings or a shift of the demand curve for chicken wings, holding all else constant. Event An increase in income of consumers An increase in the price of burgers (a substitute for chicken wings) An increase in the price of chicken wings Movement Along Shift O6. A small company can employ 3 workers. Each worker independently stays on the job for an exponentially distributed time with a mean of one year and then quits. When a worker quits, it takes the company an exponentially distributed time with a mean of 1/10 of a year to hire a replacement for that worker (independently of how long it takes to replace other workers). If the company takes in $1000 per day in revenue when it has 3 workers, $800 per day when it has 2 workers, and $500 per day when it has 0 or 1 workers, what is the company's long-run average daily revenue?
- 17. A risk manager would like to simulate the price of a stock using the discretized GBM, where St+At = St + µS{At+√ã$£€ where μ and o denote, respectively, the stock annual mean return and annual volatility. The data suggest that the weekly mean return on the stock is 0.5% and the weekly volatility is 4%. Assuming a weekly time step of At = 1/52 (in terms of annual units), what is the appropriate estimate of μ? (a) = 26.4% (b) û = 30.16% (c) û = 4.5% (d) û = 17.94% 18. Suppose that the price of an asset obeys geometric Brownian motion (GBM) with an annual drift μ = 0.01 and an annual volatility of o= 0.25. If today's price is $100, what is the probability that the price two years from now will drop below $80? Hint: Recall that under GBM, the future price at T, i.e. ST, given today's spot price, St, is with TT-t and €~ = (a) 21.51% (b) 35.48% (c) 51.1% (d) 30.47% ST= St x exp (μ x exp [(μ-27 ) XT + √F X 0 Xe] N (0, 1).8. In a regression model if you drop one insignificant variable then A. R ^ 2 will decrease but SSE will increase. B. R ^ 2 will increase but SSE will decrease. C. R ^ 2 will increase and SSE also will increase. D. R ^ 2 will decrease and SSE also will decrease. E. NoneThe Organization for Economic Cooperation and Development (OECD) consists of 20 industrialized countries. For these nations, the prediction equation relating y = child poverty rate (in percentage points) to x = social expenditure as a percentage of gross domestic product (GDP) is = 22-1.3x. In 2000, the actual child poverty rate ranged from 2.8% (in Finland) to 21.9% (in the U.S.). Social expenditure as a percentage of GDP ranged from 2% (in the United States) to 16% (in Denmark). What is the value of the y-intercept (a) estimated in the linear prediction equation provided above (= 22-1.3x)? Also, interpret the y-intercept. y-intercept: Interpretation of y-intercept:
