ovrhead wiath measured from a woight of a seal if the overhead width measured fr
ID: 3292010 • Letter: O
Question
ovrhead wiath measured from a woight of a seal if the overhead width measured from a find the regression equation, letting overhead width be the predictor (h) variable. Find the best predicted weight of a sealif the ove be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05 photograph is 1.7 cm Can the prediction Overhead Width (om) 84 81 89 8.3 9.9 187 204 233180 271 170 Weight (Ag) Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y- Round to one decimal place as needed ) The best predicted weight for an overhead width of 17bkg (Round to one decimal place as needed) Can the prediction be correct? What is wrong with predicting the weight in this case? A. The prediction cannot be correct because a negative weight does not make sense The with in this case is beyond the scope of the available sample data O B. The prediction cannot be correct because there is not suficient evidence of a linear correlation. The width in this case is beyond the scope of the available O C. The prediction cannot be correct because a negative weight does not make sense. The regression does not appear to be useful for making predictions O D. The prediction can be correct. There is nothing wrong with predicting the weight in this case sample dataExplanation / Answer
using minitab
Regression Analysis: kg versus cm
The regression equation is
kg = - 151.0 + 42.18 cm
S = 15.6585 R-Sq = 86.5% R-Sq(adj) = 83.2%
Analysis of Variance
Source DF SS MS F P
Regression 1 6296.75 6296.75 25.68 0.007
Error 4 980.75 245.19
Total 5 7277.50
Fitted Line: kg versus cm
ANSWERS
The regression equation is
kg = - 151.0 + 42.18 cm =-151+42.2cm
at cm=1.7 ,kg?
kg= -151+42.18*17 = -79.294 = -79.3
option A
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