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Download the data prices.xlsx. Using R, run a regression of prices on ounces. Based on the results, what would be the predicted change in price

Download the data prices.xlsx. Using R, run a regression of prices on ounces. Based on the results, what would be the predicted change in price if ounces increased from 10 to 12?

a.

$13.23

b.

$11.51

c.

$17.63

d.

$11.83

e.

None of these

Ounces Price
15.6394935 95.8714443
7.47047269 47.3794506
1.27554917 11.9407556
6.93946118 46.8370314
17.826798 112.697149
2.25379753 19.4855151
7.76105724 50.8970282
3.79827615 28.9229204
5.68974126 39.9106407
19.1153954 119.28176
5.78206172 39.9453452
16.5706888 102.528711
8.15178094 54.0856442
19.2843011 120.487289
7.09677249 48.1993518
0.02862318 6.36780075
6.02122446 41.1084441
8.10183268 53.8336738
11.0429251 72.2131643
13.3906732 84.0786666

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