1. The annual net income of MAC Industries since 2005 is given below. Years t (since 2005) Net Income 1 4 6 12 15 $1,500 $2,500 $2,875 $2,850 $2,250 a. Create a scatter plot that includes your curve of best fit on top of the data. You should try several functions and make your choice based on best r-squared value. b. Find the year that Net Income was at its highest point. c. What was the income in that year?
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- A sales manager collected the following data on x = years of experience and y = annual sales ($1,000s). The estimated regression equation for these data is 9 = 81 + 4x. Years of Annual Sales Salesperson Experience ($1,000s) 1 1 80 2 3 97 3 4 102 4 102 5 6 103 6 8 101 7 10 119 B 10 123 9 11 127 10 (a) Compute SST, SSR, and SSE. SST= SSR= 13 136 SSE= (b) Compute the coefficient of determination (Round your answer to three decimal places.) P = Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.) The least squares line did not provide a good fit as a large proportion of the variability in y has been explained by the least squares line. The least squares line provided a good fit as a small proportion of the variability in y has been explained by the least squares line. The least squares line provided a good fit as a large proportion of the variability in y has been explained by the least squares line. O The least squares line…Show your work (use of formula, etc.) in solving the problem. Provide your answer/solution in the answer space provided below. Answer the question: Given the following historical returns, calculate the average return and the standard deviation: Year Return 1 14% 2 10% 3 15% 4 11%go.3
- Match each term with the best definition or descriptor. NPV is __________ ( a unitless ratio, a unit of time, a dollar vallue, or a rate of return). IRR is ___________ ( a unitless ratio, a unit of time, a dollar vallue, or a rate of return). Profitability index is __________( a unitless ratio, a unit of time, a dollar vallue, or a rate of return).PRICE (Thousands of dollars perhome). 500 450 400 350 300 250 200 150 100 50 0 0 10 + + + + 30 40 50 60 70 80 INCOME (Thousands of dollars per year) + 20 The variable shown on the vertical axis is The units for the variable on the horizontal axis are + 90 100 ? There are two ways to view the information presented on the graph. First, the graph tells us the amount a person with a certain income is likely to spend on a home, and second, it tells us the probable income of a person who spent a certain amount on a home. For example, if an individual earned $50,000 last year and purchased a new home, you would expect that person to have paid about for the home. Similarly, if someone just paid $250,000 for a home, you could use this graph to estimate that this person's income was probably aroundWhich one of the following best describes an arithmetic average return? Multiple Choice A. Total return divided by N − 1, where N equals the number of individual returns B. Average compound return earned per year over a multiyear period C. Total compound return divided by the number of individual returns D. Return earned in an average year over a multiyear period E. Positive square root of the average compound return
- How do you calculate net sales? Also... Do you only look at current year data or do you factor previous year data and current year? ThxWhat summary of financial performance can you conclude based on data given?1.) On a single chart, plot the value of $1 invested in each of the five indexes over time. I.e., for all ??, plot the cumulative return series for each index: ?????? = (1 + ?��1)(1 + ?��2)...(1 + ????) What patterns do you observe? (10 points) 2.) Plot a histogram of only the Global index returns. Does the distribution look normal? (5 points) 3.) Estimate the following for each of the indices. In calculating the statistics, “monthly” can be interpreted as “not annualized”. (30 points) a. Arithmetic average of monthly returns, and annualized arithmetic return using the APR method b. Geometric average of monthly returns, and annualized geometric return using the EAR method. Why does the geometric average differ from the arithmetic average? c. Standard deviation of monthly returns, and annualized standard deviation d. Sharpe Ratio of monthly returns, and annualized Sharpe Ratio e. Skewness of monthly returns f. Kurtosis of monthly returns g. 5% Value at Risk (VaR) of…