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iiamentertainment

  • one year ago

The table shows the amount of milk that Wisconsin dairy farms produced from 1939 to 1962. Which linear model best fits this data? Year Milk Produced(in billions of lbs.) 1939 12 1962 15 2005 21 y = 0.142x – 6.38 y = 0.142x + 6.38 y = 6.38x + 0.142 y = –0.142x + 6.38

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  1. iiamentertainment
    • one year ago
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    @LogicalApple ???

  2. blondie16
    • one year ago
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    do ju have a graphing calculator??

  3. iiamentertainment
    • one year ago
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    no

  4. blondie16
    • one year ago
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    dang ju need one for this

  5. iiamentertainment
    • one year ago
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    Is there an internet on i got one moe question after this

  6. blondie16
    • one year ago
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    i dont think it would be able to do this question because ju have to go to this stat thing and plug in the years and stuff then ju could get the equation cuz its that easy with a graphing calc.. but none of the online ones have it

  7. iiamentertainment
    • one year ago
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    ugh so you dont know the answer ?

  8. blondie16
    • one year ago
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    no because i dont have my graphing calculator with me D:

  9. iiamentertainment
    • one year ago
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    So I Guess I Gotta Gue

  10. blondie16
    • one year ago
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    sorry :/

  11. LogicalApple
    • one year ago
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    Well the values of the milk produced is increasing to the slope must be positive. That eliminates the last choice... I am a little confused. Is that third value supposed to be 2005 ? 2005 is not between 1939 and 1962.

  12. LogicalApple
    • one year ago
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    Well, I suppose it does not matter. After some guess and check, the equations only fit the data if we assume years are written as 39 62 105 Then a linear regression is y = 0.136x + 6.609 which is closest to choice B

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  13. LogicalApple
    • one year ago
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    But unless we know that ahead of time, none of the equations would be best fit...

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