A restaurant has tracked the number of meals served at lunch over the last four weeks. The data show little interms of trends, but do display substantial variation by day of the week. Use the following information todetermine the seasonal (daily) indices for this restaurant. Round all numbers in your calculations to fourdecimal places.DaySundayMondayTuesdayWednesdayThursdayFridaySaturdayTOTALOVERALL AVERAGEWeek140546172899180AVERAGE AVG Monthly SEASONAL INDEX235556077809082339516578819981443596469799583

Given a restaurant has tracked the numbers of meals served at lunch over the last four weeks.

Answered: A restaurant has tracked the number of…

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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The following data shows ages of musicians who performed at a concert. Age is a continuous variable. Calculate the Mode for the variable. 22 82 27 43 19 47 41 34 34 42 35
HYPOTHESIS TESTING Climate change is a topic of both academic and political interest. The National Climatic Data Center has recorded temperature data since 1800. You can explore their data at: http://data.giss.nasa.gov/gistemp/ The following chart compares the average Land-Surface Air Temperatures for year since 1961 to the 20th century average Land-Surface Air Temperature. Year Temp Change, °C 1961 0.075 1962 0.038 1963 0.079 1964 -0.207 1965 -0.111 1966 -0.031 1967 -0.005 1968 -0.044 1969 0.076 1970 0.028 1971 -0.105 1972 0.001 1973 0.14 1974 -0.079 1975 -0.048 1976 -0.161 1977 0.125 1978 0.011 1979 0.083 1980 0.179 1981 0.261 1982 0.045 1983 0.257 1984 0.088 1985 0.046 1986 0.126 1987 0.262 1988 0.312 1989 0.19 1990 0.373 1991 0.346 1992 0.125 1993 0.133 1994 0.233 1995 0.37 1996 0.288 1997 0.393 1998 0.566 1999 0.317 2000 0.328 2001 0.477 2002 0.556…
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Desmos | Graphing Calc Year Time (seconds) 1912 82.2 1924 72.4 1932 66.8 1952 66.8 1960 61.2 1968 60.0 1976 55.65 1984 55.92 1992 54.64 2000 53.8 2008 53.1 a. Decide which variable should be the independent variable and which should be the dependent variable. b. Draw a scatter plot of the data. C. Does it appear from inspection that there is a relationship between the variables? Why or why not? d. Find the equation in the form of: y= a + bx. e. Find the correlation coefficient. f. Find the estimated gold medal time for 1932. Find the estimated time for 1984. g. Why are the answers from part f different from the chart values? h. Does it appear that a line is the best way to fit the data? Why or why not? i. Use the least-squares line to estimate the gold medal time for the next Summer Olympics (Assuming they would be in 2020). Do you think that your answer is reasonable? Why or why not? Note that the fastest speed time in recorded history as of 2020 was 51.22 seconds for the 100 meter…
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The following table shows the average yearly tuition and required fees, in dollars, charged by four-year American private universities in the school year beginning in the given year. Date Average tuition 2012 $27,870 2013 $29,004 2014 $30,138 2015 $31,272 2016 $32,406 (a) Show that these data can be modeled by a linear function. For each change of 1 year in time there is an increase of $ in tuition. Find its formula. (Let d be the date in terms of number of years since 2012 and T tuition in dollars.) T(d) = 27,870+1134d (b) Plot the data points and add the graph of the linear formula you found in part (a). (c) What prediction does this formula give for average tuition and fees at four-year American private universities for the academic year ending in 2018?$
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