There is an issue where students seem to find themselves making irrational purchasing decisions during the first week of loan reimbursement for their study loans." From this statement, extract the possible dependent variable (DV) and independent variable (IV)
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1) "There is an issue where students seem to find themselves making irrational purchasing decisions during the first week of loan reimbursement for their study loans." From this statement, extract the possible dependent variable (DV) and independent variable (IV)
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- The maintenance manager at a trucking company wants to build a regression model to forecast the time (in years) until the first engine overhaul based on four predictor variables: (1) annual miles driven (in 1,000s of miles), (2) average load weight (in tons), (3) average driving speed (in mph), and (4) oil change interval (in 1,000s of miles). Based on driver logs and onboard computers, data have been obtained for a sample of 25 trucks. A portion of the data is shown in the accompanying table. Time Miles Load Speed Oil 7.7 42.9 22.0 44.0 16.0 0.8 98.3 20.0 47.0 34.0 6.3 61.1 22.0 62.0 15.0 E Click here for the Excel Data File b. Estimate the regression model. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) Time = Miles Load Speed oil + + d. What is the predicted time before the first engine overhaul for a particular truck driven 60,000 miles per year with an average load of 25 tons, an average driving speed of 53 mph, and 21,000 miles…clear hand written with in 5 min plzzzzzzYou have been assigned the task of comparing the investment performance of five different investment managers. After gathering 60 months of excess returns (i.e. returns in excess of monthly risk-free rate) on each fund as well as the monthly excess returns on the entire stock market, you perform the regression of the form (Rp - RFR)t = a + B(RM - RFR)t + &t. You have prepared the following summary of the data, with the standard errors for each of the coefficients listed in parenthesis. Regression Data (Rp - RFR) Portfolio Alpha Beta R2 Mean Sigma 0.192 1.048 XMN 94.1% 1.022% 1.193% (0.11) (0.10) -0.053 0.662 |РЕК 91.6% 0.473 0.764 (0.19) (0.09) 0.463 0.594 PVG 68.6% 0.935 0.793 (0.19) (0.07) 0.355 0.757 SZX 64.1% 0.955 1.044 (0.22) (0.08) 0.296 0.785 CAN 94.8% 0.890 0.890 (0.14) (0.12) 1. Which portfolio do you think had the highest degree of diversification over the sample period? Explain. 2. Rank these portfolios' performance according to the Sharpe, Treynor, and Jensen measures. 3.…
- 3. A Ross MAP team is trying to estimate the revenues of major-league baseball teams during the regular season using a regression model. Currently, the independent variables include stadium capacity, the number of weekend games, the number of night games, and the number of Wins (out of 162 regular season games). One of your team members suggests that the model also should include the number of losses as it provides additional explanatory power. Assume that ties are not possible; so every game results in exactly one team winning and the other team losing. Which of the following statements is the most likely conclusion of the new regression model? (a) R2 will increase, adjusted R2 will decrease, and Serror will decrease. (b) R2 and adjusted R2 will increase, and serror will decrease. (c) R, adjusted R2, and Serror will increase. (d) We cannot trust the regression output as some variables are highly correlated, resulting in multicollinearity. Answer to Question 3:.A new, miracle diabetes drug that diminishes major symptoms of diabetes has been approved by the FDA. Health care professionals and researchers believe that the new drug will prolong lifespan of diabetes patients. If the population is in steady state and the incidence is constant, what will the effect of this new drug be on the prevalence of diabetes in the population? Explain.2. In your own words, please describe the difference between the regression equation ŷ = b + b₁x and the regression equation y = P + ₁x (Section 10-3).
- 4. Our R² implies that lots of stuff, other than health, also affects doctor visits. One such thing is a person's insurance status. The data file includes a third variable that records whether the person had health insurance during 2019. Estimation a regression of the form y = Bo + B₁x1 + B₂x₂ where x₁ is the health status variable from above, but now x₂ records whether the person had insurance. a) Interpret the estimate of B₁ in words. b) Interpret the estimate of B₂ in words. c) Forecast a person's number of doctor visits in 2019 if he/she was in excellent health, but did not have insurance. d) Forecast a person's number of doctor visits in 2019 if he/she was in poor health, and did have insurance. e) The R² for this regression is6 of 7 Increased preference for WATERMELON would most likely shift the demand curve for WATERMELON to the _in the price of WATERMELON, ceteris paribus. and lead to a(n) left; increase left; decrease O right; increase right; decrease Previous Next FinishThe 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
- Need assistance with question 2 iv, v. I already got help with i, ii, iii4. 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 O1
