The “Geography I ES 1101 Unit 04 Exercise: Temperature Analysis with Excel (Submit both this file and your excel file) PART ONE: Lat. Region Location J F M A M J J A S O N D 0 Low lat. Warpes, Brazil...

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Answered 3 days AfterOct 11, 2021

Answer To: The “Geography I ES 1101 Unit 04 Exercise: Temperature Analysis with Excel (Submit both this file...

Taskin answered on Oct 15 2021
128 Votes
The “Geography I
ES 1101 Unit 04 Exercise:
Temperature Analysis with Excel
(Submit both this file and your excel file)
    PART ONE:
    Lat.
    Region
    Location
    J
    F
    M
    
A
    M
    J
    J
    A
    S
    O
    N
    D
    0
    Low lat.
    Warpes, Brazil
    80
    81
    80
    80
    80
    79
    78
    79
    80
    80
    81
    80
    32N
    Mid lat.
    Dallas, TX
    44
    49
    57
    65
    73
    81
    85
    84
    78
    67
    55
    48
    67N
    High lat.
    Verthogansk, Siberia
    -59
    -49
    -26
    5
    33
    54
    57
    49
    35
    5
    -36
    -55
    32N
    Mid
    San Diego, CA
    58
    59
    60
    63
    65
    67
    71
    73
    72
    68
    62
    58
    32N
    Mid
    Savannah, GA
    49
    53
    59
    65
    73
    79
    82
    81
    77
    67
    59
    51
1. Enter the above data table into an Excel spreadsheet. Keep all labels.
2. On two new columns to the right of the monthly temperature readings, calculate the annual average and annual range of each city’s temperatures.
3. Draw the curves of each city’s monthly temperature change (or draw selected curves that help your answer to question 5). Insert your chart here.
4. Save your spreadsheet as your last name.xls.
5. Report here the annual range and annual average of each city and their latitude, altitude degrees. Explain the obvious differences in their annual range and annual average in terms of differences in latitude and latitude, as well as location on the continent.
    S.no
    Location
    Latitude
    Annual Avg Temperature
    Annual range of each city
    1
    Warpes, Brazil
    0
    79.83
    3
    2
    Dallas, TX
    32N
    65.5
    41
    3
    Verthogansk, Siberia
    67N
    1.08
    116
    4
    San Diego, CA
    32N
    64.66
    15
    5
    Savannah GA
    32N
    66.25
    33
From the above table, it is evident that the temperature of a given place is inversely related to latitude of the region...
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