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

1. iiamentertainment

@LogicalApple ???

2. blondie16

do ju have a graphing calculator??

3. iiamentertainment

no

4. blondie16

dang ju need one for this

5. iiamentertainment

Is there an internet on i got one moe question after this

6. blondie16

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

ugh so you dont know the answer ?

8. blondie16

no because i dont have my graphing calculator with me D:

9. iiamentertainment

So I Guess I Gotta Gue

10. blondie16

sorry :/

11. LogicalApple

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

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

13. LogicalApple

But unless we know that ahead of time, none of the equations would be best fit...

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