(a) Compute the residuals. Years of Annual Sales Experience ($1,000s) 1 3 4 4 6 8 10 10 11 13 80 97 92 107 103 101 119 118 127 136 -4 5 -4 -4 -1 1- -1 3 0 4 Residuals > X ✔ X X X

A famous Chinese restaurant would like to find out the change in demand on its dim-sum. After checking its purchase records in 2020 and 2021, the restaurant collected the data as follows: 2020 2021 Items Price ($) Quantity Price ($) Quantity Shrimp Dumpling 10 60 12 69 Spring Roll 7 51 62 Chicken Feet 8 73 9 77 (a) Using 2020 as the base year, calculate the Laspeyres Price Index of 2021. (b) Using 2020 as the base year, calculate the Paasche Price Index of 2021. (c) Using the result in part (a) and (b), calculate the Fisher Price Index of 2021.

L 1. The profits of a Company for the last 8 years are given below. Calculate the Range and its Coefficient: Year 1995 1996 1997 1998 1999 2000 2001 2002 Profits (in '000 Rs.) 40 30 80 100 120 90 200 230

Year Quarter Price 2010 1 263600 2010 2 264100 2010 3 259500 2010 4 248900 2011 1 251400 2011 2 259200 2011 3 251400 2011 4 252000 2012 1 272300 2012 2 258600 2012 3 265500 2012 4 291200 2013 1 290500 2013 2 302400 2013 3 322900 2013 4 331000 2014 1 324700 2014 2 344400 2014 3 327500 2014 4 355400 2015 1 347200 2015 2 341000 2015 3 330800 2015 4 370300 2016 1 350800 2016 2 380000 2016 3 368600 2016 4 371100 2017 1 372500 2017 2 386300 2017 3 385500 2017 4 409700 2018 1 408000 2018 2 423400 2018 3 404300 Predictive Analytics: Time-Series Forecasting:   The above contains data on median home prices in the West Census region quarterly from 2010 to2018. Easter Realtor, Inc. is interested in houses in this region. They want to use this data toforecast home price in the fourth quarter of 2018. For cross-validation, use the training set fromthe first quarter of 2010 to the fourth quarter in 2016, and use a validation set…

The profits of a Company for the last 8 years are given below. Calculate the Range and its Coefficient : Year 1995 1996 1997 1998 1999 2000 2001 2002 Profits (in '000 $) 40 30 80 100 120 90 200 230

c) If the price of the product is increased from 3.50 to 4.20 (a 20% increase): (1) Will the revenue from selling the products go up or down? UP/ DOWN (Circle one) (ii) Will the demand for the products go up or down? UP / DOWN (Circle one) By about what percentage?. _%

6.2.15. By using expressions $(6.2 .21)$ and $(6.2 .22)$, obtain the result for the one-step estimate discussed at the end of this section.

2.62 For the period 2001–2008, the Bristol-Myers Squibb Company, Inc. reported the following amounts (in billions of dollars) for (1) net sales and (2) advertising and product promotion. The data are also in the file XR02062.   Source: Bristol-Myers Squibb Company, Annual Reports, 2005, 2008.   Year         Net Sales           Advertising/Promotion 2001       $16.612                     $1.201 2002       16.208                     1.143 2003       18.653                     1.416 2004       19.380                     1.411 2005       19.207                     1.476 2006       16.208                     1.304 2007       18.193                     1.415 2008        20.597                    1.550   For these data, construct a line graph that shows both net sales and expenditures for advertising/product promotion over time. Some would suggest that increases in advertising should be accompanied by increases in sales. Does your line graph support this?

When a population is finite, the formula that determines the standard error of the mean needs to be adjusted. If N is the size of the population and n is the size of the sample (where n ≥ 0.05N), the standard error of the mean is shown below. The finite population correction factor is given by the expression √(N-n)/(N-1). Determine the finite population correction factor for each of the following. (a) N = 1400 and n = 1050 (b) N = 1400 and n = 140 (d) N = 1400 and n = 70 (c) N = 1400 and n = 75 (e) What happens to the finite population correction factor as the sample size n decreases but the population size N remains the same? (a) The finite population correction factor is (Round to three decimal places as needed.) (b) The finite population correction factor is (Round to three decimal places as needed.) (c) The finite population correction factor is (Round to three decimal places as needed.) (d) The finite population correction factor is (Round to three decimal places as needed.) (e)…

When a population is finite, the formula that determines the standard error of the mean needs to be adjusted. If N is the size of the population and n is the size of the sample (where n ≥ 0.05N), the standard error of the mean is shown below. The finite population correction factor is given by the expression (N-n)/(N-1). Determine the finite population correction factor for each of the following. (a) N = 1700 and n = 850 (c) N = 1700 and n = 125 (e) What happens to the finite population correction factor as the sample size n decreases but the population size N remains the same? (b) N = 1700 and n = 170 (d) N = 1700 and n = 85 (a) The finite population correction factor is (Round to three decimal places as needed.)