A veterinarian collects data about puppies in her practice. She makes a scatterplot with their age in days on the horizontal axis and weight in ounces (oz) on the vertical axis and sees that the scatterplot is football shaped. The average age of the puppies is 42 day, with an SD of 7 days. The average weight is 25 oz, with an SD of 5 oz. The correlation is moderately strong, with r = 0.7. (a) The age of two puppies differ by 20 days. The difference in their weight is predicted to be ________________ oz. (b) The baseline prediction for the weight of puppies ignores their age and just uses the information from all puppies. The baseline predicted weight is ________________ oz and the RMS error for this prediction is ________________ oz. (c) Suppose we converted the units of age from days to weeks. The average age is now _______________ weeks, with an SD of _______________ weeks. The correlation between age in weeks and weight in oz is now r = ___________________
A veterinarian collects data about puppies in her practice. She makes a
on the vertical axis and sees that the scatterplot is football shaped. The average
age of the puppies is 42 day, with an SD of 7 days. The average weight is 25 oz,
with an SD of 5 oz. The
(a) The age of two puppies differ by 20 days. The difference in their weight is
predicted to be ________________ oz.
(b) The baseline prediction for the weight of puppies ignores their age and just
uses the information from all puppies. The baseline predicted weight is
________________ oz and the RMS error for this prediction is ________________ oz.
(c) Suppose we converted the units of age from days to weeks. The average age
is now _______________ weeks, with an SD of _______________ weeks. The
correlation between age in weeks and weight in oz is now
r = ___________________
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