Answer:
y = 16.3216X - 330.3904
322 pounds;
Result is significant
Step-by-step explanation:
Given the data:
Chest size, x : 41,54,44,55,39,51
Weight, Y : 328,528,418,580,296,503
Using technology, the prediction model obtained by fitting the data is :
y = 16.3216X - 330.3904
Where, x = chest size ; y = weight
The best predicted weight of a bear with chest size of 40 is
Put x = 40 in the equation :
y = 16.3216(40) - 330.3904
Y = 322.4736
Y = 322 pounds
At α = 0.05
The regression Coefficient, R value obtained is 0.986 ; using this to obtain the Pvalue ;
df = n - 1
Pvalue(0.986, 5) = 0.00198
Since, Pvalue < α ; result is significant at α = 0.05
