Summary of USF ICC Reform - Part 4 Regression Analyses

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    Summary of USF & ICCReform Order & FNPRM

    Part IV Regression Analysis

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    The material appearing in this presentation is for informational purposes

    only and is not legal or accounting advice. Communication of this

    information is not intended to create, and receipt does not constitute, a

    legal relationship, including, but not limited to, an accountant-client

    relationship. Although these materials may have been prepared by

    professionals, they should not be used as a substitute for professional

    services. If legal, accounting, or other professional advice is required, the

    services of a professional should be sought.

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    BACKGROUND & INTRODUCTIONS

    Chad Duval, Partner

    Moss Adams LLP

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    CAF & ICC REFORM ORDER & FNPRM

    Connect America Fund (CAF) andIntercarrier Compensation (ICC) ReformOrder and FNPRMo Approved October 27, 2011

    o Released November 18, 2011

    o Order primarily addresses long term ICC and interim

    USF reform Proposed effective dates beginning in 2012

    o FNPRM primarily addresses long term USF reform

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    USF REFORM

    Limitations on capital and operating expenses

    o Paragraphs 210 226 & Appendix H

    o Implemented no later than 7/1/2012

    o Additional comment as part of FNPRM Regression analysis using publicly available cost, geographic and

    demographic data

    Comparison of costs to similarly situated companies

    o Annual publication of capped costs that will be usedin place of actual costs that exceed the cap

    o Focused initially on HCLS, but FNPRM directs similarbenchmarks for ICLS

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    WHY A WEBCAST ON REGRESSION?

    Analysis shows that these limitations couldhave significant impact on rural carriers

    o Over 40% of rural carriers would be impacted

    Regression is a complex tool and very fewpeople understand how it works

    The FCCs model is flawed and we want to make

    sure that everyone is aware and takes action People asked!

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    INTRODUCTIONS

    Patrick Sherrill, CEO

    Zona Communications, Inc.

    o Bachelors Degree in Mathematics

    o Masters Degree in Industrial Engineering

    o Focus on regression basics and FCCs application

    Clay Sturgis, Partner

    Moss Adams, LLPo Bachelors Degree in Accounting

    o CPA & CMA

    o Focus on issues with FCC model & recommendations

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    FUNDAMENTALS OF REGRESSION ANALYSIS

    Patrick Sherrill, CEO

    Zona Communications

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    Formula which defines the limit of

    appropriate levels of capital expenses

    and operating expenses.

    Cost study data from 720 rate-of-return

    companies.

    Regression Analysis

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    OVERVIEW OF REGRESSION ANALYSIS

    1. Define the dependent variable to bepredicted.

    2. Select the independent variables that helppredict the level of the dependent variable.

    3. Use regression to develop a formula.

    4. Multiply independent variables by their

    coefficients. Add the results together thenadd the constantvalue.

    5. The result provides the models prediction ofthe dependent variable.

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    0.377

    Coefficients Independent Variables

    0.885 multiplied by loops

    plus

    -0.320 multiplied by non-urban housing units

    plus

    0.166 multiplied by urban cluster housing units

    plus

    -0.0356 multiplied by urban area housing units

    plus

    0.163 multiplied by non-urban land area

    plus

    0.00647 multiplied by urban cluster land area

    plus

    -0.101 multiplied by urban area land area

    plus

    0.866 multiplied by percent water area

    plus

    0.134 multiplied by non-urban census blocks

    plus

    -0.252 multiplied by urban cluster census blocks

    plus

    0.160 multiplied by urban area census blocks

    plus

    constant value of 10.38

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    0

    50,000,000

    100,000,000

    150,000,000

    200,000,000

    250,000,000

    0 10000 20000 30000 40000 50000 60000 70000 80000

    Loops

    Cable&WireFacilities

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    10

    11

    12

    13

    14

    15

    16

    17

    18

    19

    20

    2 3 4 5 6 7 8 9 10 11 12

    Loops

    Cable&WireFacilities

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    y = 0.875x + 9.1971

    R = 0.7864

    10

    11

    12

    13

    14

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    19

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    2 3 4 5 6 7 8 9 10 11 12

    Linear (C&WF) Loops

    Cable&W

    ireFacilities

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    10

    11

    12

    13

    14

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    2 3 4 5 6 7 8 9 10 11 12

    Capped Study Areas Loops

    Cable&WireFacilities

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    14.0

    14.5

    15.0

    15.5

    16.0

    16.5

    17.0

    17.5

    18.0

    18.5

    19.0

    7 7.5 8 8.5 9 9.5 10

    Capped Study Areas Loops

    Cable&W

    ireFacilities

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    0

    5000000

    10000000

    15000000

    20000000

    25000000

    - 2,000 4,000 6,000 8,000 10,000 12,000 14,000 16,000 18,000 20,000

    Non-capped Companies

    Capped Companies

    Loops

    StudyAreaCosts

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    0

    1000000

    2000000

    3000000

    4000000

    5000000

    6000000

    - 200 400 600 800 1,000 1,200 1,400 1,600 1,800 2,000

    Non-capped Companies

    Capped Companies

    Loops

    Study

    AreaCosts

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    Independent Variables used

    by the FCC

    loops

    non-urban housing units

    urban cluster housing units

    urban area housing units

    non-urban land areaurban cluster land area

    urban area land area

    percent water area

    non-urban census blocks

    urban cluster census blocks

    urban area census blocks

    Independent Variables not

    included by the FCC

    linear density

    area density

    soil type

    road mileage in study area

    frost indexwetlands percentage

    age of investment

    regulatory environment

    existing broadband capabilities

    labor costs

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    CONCERNS WITH REGRESSION CAPSClay Sturgis, PartnerMoss Adams LLP

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    CONCERNS WITH REGRESSION CAPS

    Impacts are significant

    o 32 companies, 15 impacted - $6.9M est. for 2013

    o Average of $215k per carrier

    o Some have very odd results:

    Co. A $2.5M Loops/mile less than 2.0

    Co. B - $730k Loops/mile less than 1.3

    Co. C - $530k Loops/mile less than .50

    Implementation date is not clear

    o Impact of 2012, all of 2012 or 2013?

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    THE REGRESSION MODEL

    Overly Complex, not easy to replicate

    o Carriers cannot plan accordingly

    o Discourage investment

    Data utilized is incorrect in some cases

    o Wrong study area info

    Flawed independent variables

    o # of loops is THE significant drivero Population density

    o Loop length and terrain not adequately factored in.

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    THE REGRESSION MODEL

    Loops Land AreaAL1 - FCC Cap

    (MA Calc)Cap/Land

    AreaLoops/Land

    Area

    Company A 6,599 3,468.01 42,023,584.82 12,118 1.90282206

    Company B 6,228 2,023.83 36,431,371.48 18,001 3.07733605

    Both companies have comparable terrain - Company A revised cap using B =62,428,340.70

    Similarly situated companies are not seeing similar resultso Carriers penalized for serving large areas?

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    THE REGRESSION MODEL

    Loops Land AreaAL1 - FCC Cap

    (MA Calc)Cap/Land

    AreaLoops/Land

    Area

    Company A 6,599 3,468.01 42,023,584.82 12,118 1.90282206

    Company B 6,260 2,358.91 46,719,212.90 19,805 2.65376309

    Company A revised cap using B =68,685,219

    Similarly situated companies are not seeing similar resultso Another example with the same Company A

    Oh by the way Company A had over $25M in facilities capped

    (they spent approximately $69m)

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    THE REGRESSION MODEL

    Example Certain coefficients seem odd and model too reliant on loops Caps as a way to control the size of the fund?

    Coefficients

    0.8846 (0.3238) 0.1664 (0.0356) 0.1629 0.0065 (0.1007) 0.8661 0.1342 (0.2520) 0.1596 10.3778

    Loops HU nu HU uc HU ua Land nu Land uc Land ua %water Blocks nu Blocks uc Blocks ua Constant Sum

    8.6696 (3.1324) 1.2060 - 1.5319 0.0068 - 0.0059 1.2100 (1.2900) - 10.3778 18.5855

    AL1 Impacts

    (388,419,410.2797)

    Capped FCC Amount Actual Amount Impact of Cap

    117,918,895.06 88,095,319.84 -

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    CONCERNS WITH REGRESSION CAPS

    Caps are applied incorrectly to HCLS modelo Capping algorithm lines, not data lines

    o Ignores other impacted accounts

    COE and CWF Accumulated depreciation TPIS, Total CWF, Total COE, Avg. CWF, & Avg. CWF Cat 1.0.

    o Uses regression on items it shouldnt Depreciation expense could be calculated

    Some carriers have depreciation capped when

    investment is not Excessive amounts can be removed.

    One carrier equated to a 12 year life on CWF(theirs is 20)

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    OUR PRELIMINARY FCC COMMENTS

    Incorrect application of the caps needs to beresolved

    Implementation dates of the caps are needed

    now Model adjustments required to accurately

    reflect density and cost of constructiondifferences or not used

    Alternatives to regression can come from otherreadily available information loops per milecalculations, annual certifications, etc.

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    NEXT STEPS FOR CARRIERS OUR

    RECOMMENDATIONS Verify your data included in the regression

    o Study area information (land, housing units, etc.)

    Understand the impacts on your companyo Especially going forward (this is an annual event)

    Communicate concerns & potential solutionso File individual comments with the FCC

    o Encourage your various associations to filecomments and support them

    o Visit the FCC if at all possibleremember, commentsare due 1/18/12 but the caps are effective 7/1/12