Example 13: Stock TATA and BIRLA display the following returns over the past three years: Year Return ТАТА BIRLA 1994 14 12 1995 16 18 1996 20 15
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![Example 13: Stock TATA and BIRLA display the following returns over
the past three years:
уears:
Year
Return
ТАТА
BIRLA
1994
14
12
1995
16
18
1996
20
15](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc8dfed89-cd3c-4eeb-8fa3-99d4127aff16%2F69cebafa-0646-482c-9bca-d2f8f69bdc83%2F46rhjzf_processed.jpeg&w=3840&q=75)
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- 1. Diversty or be Sued! An investor with a stock portfolio worth several hundred thousand dollars sued his broker because lack of diversification in his portfolio led to poor performance (low returns) The table below gives the rates in percentages for the 39 months that the account was managed by the broker. An arbitration panel composed these returns with average of the Standard and Poor's stock index for the same period. Consider the 39 SRS monthly returns the broker would generate if he managed the account forever. Are these returns compatible with a population mean of .95%, the S&P 500 averaged over 35 years? The numbers are already in percentages. -2.93 -15.25 1.28 -1.01 -8.36 1.62 -2.27 -2.7 -2.93 -9.14 -2.64 6.82 -2.35 -3.58 -5.11 5.04 -9.16 12.22 -2.56 -1.25 -7.21 4.33 6.13 7.00 -1.44 -2.14 -8.66 -65 -1.41 -1.03 4.34 -1.22 -.09 2.35 -10.27 7.34 -7.24 12.03 Test the investors' claim at the alpha level .05 significance level. (name the hypotheses, parameter, type of test and make…An asset has a depreciable basis of $13,200 and qualifies as 3-year MACRS property. The MACRS percentages are: 16.67, 33.33, 33.33. and 16.67 percent for years 1 to 4, respectively. What is the year 3 ending book value?Find out the next month after april income by using the forecasting method of the moving average method
- Suppose you have data on 100 firms’ quarterly sales during the most recent quarter (so 1 quarter of data for each firm). What type of data is this? Balanced panel Time series Cross sectional Unbalanced panelMonth Machine Defects Human Defects Company loses 1 1539 31 99798 2 1284 29 87804 3 1490 27 93681 4 1355 22 82262 5 1500 35 106968 6 1777 30 107925 7 1716 41 117287 8 1045 29 76868 9 1364 47 106001 10 1516 21 88738 11 1623 37 105830 12 1376 37 88730 13 1327 49 100624 14 1178 50 98857 15 1491 37 102622 16 1667 41 108059 17 1769 34 110054 18 1104 44 91892 19 1196 46 98693 20 1794 29 110530 21 1379 38 96883 22 1448 32 99593 23 1505 32 94564 24 1420 42 105752 25 1475 27 93224 26 1118 34 75398 27 1433 58 113137 28 1589 26 85609 29 1585 32 98498 30 1493 33 101803 31 1124 36 88371 32 1536 28 102419 33 1678 41 117183 34 1723 35 107828 35 1413 30 88032 36 1390 54 117943 Interpret the regression outcomes to validate your regression equation, i.e., Multiple R(Correlation of the Regression Equation), R squared, as well as Adjusted R squared. WITHOUT USING AN EXCELMonth Machine Defects Human Defects Company loses 1 1539 31 99798 2 1284 29 87804 3 1490 27 93681 4 1355 22 82262 5 1500 35 106968 6 1777 30 107925 7 1716 41 117287 8 1045 29 76868 9 1364 47 106001 10 1516 21 88738 11 1623 37 105830 12 1376 37 88730 13 1327 49 100624 14 1178 50 98857 15 1491 37 102622 16 1667 41 108059 17 1769 34 110054 18 1104 44 91892 19 1196 46 98693 20 1794 29 110530 21 1379 38 96883 22 1448 32 99593 23 1505 32 94564 24 1420 42 105752 25 1475 27 93224 26 1118 34 75398 27 1433 58 113137 28 1589 26 85609 29 1585 32 98498 30 1493 33 101803 31 1124 36 88371 32 1536 28 102419 33 1678 41 117183 34 1723 35 107828 35 1413 30 88032 36 1390 54 117943 Interpret the regression outcomes to validate your regression equation, i.e., Multiple R(Correlation of the Regression Equation), R squared, as well as Adjusted R squared.
- Month Machine Defects Human Defects Company loses 1 1539 31 99798 2 1284 29 87804 3 1490 27 93681 4 1355 22 82262 5 1500 35 106968 6 1777 30 107925 7 1716 41 117287 8 1045 29 76868 9 1364 47 106001 10 1516 21 88738 11 1623 37 105830 12 1376 37 88730 13 1327 49 100624 14 1178 50 98857 15 1491 37 102622 16 1667 41 108059 17 1769 34 110054 18 1104 44 91892 19 1196 46 98693 20 1794 29 110530 21 1379 38 96883 22 1448 32 99593 23 1505 32 94564 24 1420 42 105752 25 1475 27 93224 26 1118 34 75398 27 1433 58 113137 28 1589 26 85609 29 1585 32 98498 30 1493 33 101803 31 1124 36 88371 32 1536 28 102419 33 1678 41 117183 34 1723 35 107828 35 1413 30 88032 36 1390 54 117943 1. Formulate a regression equation to show a linear relationship between the variables. (Remember your regression equation should take the form Y = fn (X, ..., etc). Thus, Y = a + b1X1+... + e)Suppose that an IRS examiner correctly detects and flags 90% of all erroneous returns that he reviews. In addition, he mistakenly flags 2% of correct returns that he reviews. Suppose that about 20% of the tax returns he reviews contain errors. (a) What proportion of tax returns he reviews are flagged? (b) What proportion of tax returns he flagged actually contain errors?Month Machine Defects Human Defects Company loses 1 1539 31 99798 2 1284 29 87804 3 1490 27 93681 4 1355 22 82262 5 1500 35 106968 6 1777 30 107925 7 1716 41 117287 8 1045 29 76868 9 1364 47 106001 10 1516 21 88738 11 1623 37 105830 12 1376 37 88730 13 1327 49 100624 14 1178 50 98857 15 1491 37 102622 16 1667 41 108059 17 1769 34 110054 18 1104 44 91892 19 1196 46 98693 20 1794 29 110530 21 1379 38 96883 22 1448 32 99593 23 1505 32 94564 24 1420 42 105752 25 1475 27 93224 26 1118 34 75398 27 1433 58 113137 28 1589 26 85609 29 1585 32 98498 30 1493 33 101803 31 1124 36 88371 32 1536 28 102419 33 1678 41 117183 34 1723 35 107828 35 1413 30 88032 36 1390 54 117943 1. Formulate a regression equation to show a linear relationship between the variables. (Remember your regression equation should take the form Y = fn (X, ..., etc). Thus, Y = a + b1X1+... + e) without using an excel
- A box contains 8 non-defective (N) items and 3 defective (D) items. Three items are drawn without replacement. Find the probabilty that exactly one defective item is obtained. number rounded to five decimal places, don't use symbols such as % [The answer should be aSuppose 25% of workers in a market are willing to work for $55.000 and 75% of workers are willing to work for $63,000. The expected benetit of searching (interviewing) another worker equals SIn a working class budget enquiry in towns A and B, it was found in 2014 that an average working class family's expenditure on food and other items was as follows : Town A Town B () Food (i) Other items In 2017, the consumer price index stood at 279 for town A, 265 for town B (Base year 2014 = 100). It was known that the rise in the prices of all articles consumed by the working class was the same for A and B. What was the 2017 index for (a) food, and (b) other items ? 64% 36% 50% 50%
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