b. The following data show a hypothetical index of economic activity and the sales revenue for aform over a 14-year period:Index of economic activitySales revenue(RM'000)1,1881,2241,2431,2391,2421,1381,4811,5621,5541,5661,5981,5621,6091,499103104104105105107108108109109110111112112Required:Identify the least squares regression equation that best fits for these data and comment on yourresult.

Solution-: We estimate the least squares regression equation that best fit for this data

Answered: . The following data show a…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Find out the coefficient of correlation between the sales and expenses of the following 10 Tirms (figure in '000 $.). Firms: 2 3 4 5 6 7 8. 9 10 Sales: 50 50 55 60 65 65 65 60 60 50 Expenses: 11 13 14 16 16 15 15 14 13 13
10. From the following data of the daily wage of 500 workers of a factory find the number of workers : (a) whose wages are more than Rs. 370 but not more than Rs. 400. (b) whose wages are less than Rs. 370 but not less than Rs. 350. 0412 Wages not exceeding Rs. 300 = 150 workers Wages not exceeding Rs. 350 = 180 workers Wages not exceeding Rs. 400 = 240 workers Wages not exceeding Rs. 450 = 400 workers Wages not exceeding Rs. 500 = 500 workersdo orw atnebute
6. In the table beloe provides predicted population data about the world and India.RegionPredicted Population (millions)Region: 2035 2050World : 8,933 9766India : 1,655.7 1670.1 (d) Calculate the absolute change in the percent of the world population that liives in India between 2035 and 2050. Round your results to one decimal place. (e) The predicted population of India is incresing while the percentage of the world population predicted to live is decresing. How can that happen? Explain in full sentences.
7. Make a bar graph presentation of the monthly rainfall over a period of one year, when given: MONTH RAINFALL (mm/mo) MONTH RAINFALL (mm/mo) JAN 5.8 JULY 395.2 FEB 2.3 AUG 517.5 MAR 4.3 SEPT 395.6 APR 13.3 ОСТ 152.2 MAY 186.9 NOV 35.0 JUNE 281.3 DEC 3.3 Discuss and describe the result.
What can you say about the interest ratings of boys and girls for these topics?
please give me answer in relatable
(b) The following chart shows the relationship between concert seating capacity (00) and revenue in RM '000 for a sample of concerts. i) ii) iii) Am oun t (RM '000 ) Exercises ke What is the above diagram called? How many concerts were studied? Describe on the relationship between revenue and seating capacity.
=48 New Bank (NB) believes that there is a relationship between the kilometres (KM) travelled by its customers and the charges on their credit cards (CC). The bank collected the data given in Table NB Table NB Dollars (US$'00) 18 Kilometres ('00) 12 24 13 20 14 25 17 23 18 23 20 30 21 34 22 31 24 37 24 If a credit card holder should spend US$2.300 on a business trip, how many kilometres would you expect her to travel (to the nearest whole number)? Select one: O a 3,483 O b 1.583 OC. 950 od. 850 11:10 AM 85°F a Q) ENG 12/16/2021 hp EliteBook 8470p Ftay postitve insert pause break scroll 16 D f7 f8 f9 O f10 3 f11 f12 prt sc wm
3] Provide an example of a qualitative variable. You may not use an example provided in th notes.
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…
5. Oxygen demand is a term blologists use to describe the axygen needed by fish and other aquatic organisms for survval. The Environmental Protection Agency conducted a study of a wetland area in Marin County, Californla. In this wetland environment, the mean oxygen demand was u=9.9 mg/L, and a= 1.7 mg/L. (Reference: EPA Report 832-R- 93- 005). Let x be a random varlable that represents oxygen demand in this wetland environment. Assume x has a probability distribution that is approximately normal. a. An oxygen demand below 8 mg/L Indicates that some organisms In the wetland environment may be dying. What is the probability that the oxygen demand will fall below 8 mg/L? b. A high oxygen demand can also indicate trouble. An oxygen demand above 12 mg/L may indicate an overabundance of organisms that endanger some types of plant life. What is the probability that the oxygen demand will exceed 12 mg/L?
You were asked to help with 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) and mothers smoking status (the maternal smoking status MSS contains 4 categories “Non-smoker”, “Past-smoker”, “Passive-smoker”, “Smoker”) and NYC boroughs (the BOROUGH variable contains 5 categories “Manhattan”, “Bronx”, “Brooklyn”, “Queens” and “State Island”). Write down the population model that assumes the effect of mother’s AGE at birth on infant weight BW is DIFFERENT for different levels of maternal smoking status (MSS) when adjusted for BOROUGH variable. Specify the name of each predictor in the model and/or what it means. Make sure that it is clear what each predictor means.

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