The following information on maintenance and repair costs and revenues for the last two years is available from the accounting records at Arnie’s Arcade & Video Palace. Arnie has asked you to help him understand the relation between business volume and maintenance and repair cost.MonthMaintenance and Repair Cost ($000)Revenues ($000)July$2.31$59.00August3.2853.00September2.8049.00October2.2165.00November2.3077.00December1.14105.00January3.1245.00February3.1651.00March3.0261.00April2.9863.00May2.0467.00June1.7879.00July2.6073.00August2.0267.00September2.5775.00October2.3877.00November1.4387.00December0.76117.00January2.5861.00February2.2863.00March1.6983.00April1.9587.00May1.9573.00June1.3369.00 Required:Using Excel, estimate a linear regression with maintenance and repair cost as the dependent variable and revenue as the independent variable. (Negative amounts should be indicated by a minus sign. Round "Multiple R, R square and Standard Error" to 7 decimal places, Intercept and Revenues to 4 decimal places.) Regression StatisticsMultiple R R Square Standard Error Observations Coefficients.Intercept Revenues

The data set is: Month Maintenance and Repair Cost ($000) Revenues ($000) July 2.31 59.00…

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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 information on maintenance and repair costs and revenues for the last two years is available from the accounting records at Arnie’s Arcade & Video Palace. Arnie has asked you to help him understand the relation between business volume and maintenance and repair cost.

Month	Maintenance and Repair Cost ($000)	Revenues ($000)
July	$2.31	$59.00
August	3.28	53.00
September	2.80	49.00
October	2.21	65.00
November	2.30	77.00
December	1.14	105.00
January	3.12	45.00
February	3.16	51.00
March	3.02	61.00
April	2.98	63.00
May	2.04	67.00
June	1.78	79.00
July	2.60	73.00
August	2.02	67.00
September	2.57	75.00
October	2.38	77.00
November	1.43	87.00
December	0.76	117.00
January	2.58	61.00
February	2.28	63.00
March	1.69	83.00
April	1.95	87.00
May	1.95	73.00
June	1.33	69.00

Required:

Using Excel, estimate a linear regression with maintenance and repair cost as the dependent variable and revenue as the independent variable. (Negative amounts should be indicated by a minus sign. Round "Multiple R, R square and Standard Error" to 7 decimal places, Intercept and Revenues to 4 decimal places.)


Regression Statistics
Multiple R
R Square
Standard Error
Observations
Coefficients.
Intercept
Revenues

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