Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 130 to 192 cm and weights of 38 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x = 167.67 cm. y=81.53 kg, r=0.356, P-value=0.000, and y = -106 +1.14x. Find the best predicted value of y (weight) given an adult male who is 177 cm tall. Use a 0.05 significance level. The best predicted value of y for an adult male who is 177 cm tall is kg. (Round to two decimal places as needed.)

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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**Transcription for Educational Website**

**Exploring the Relationship between Height and Weight**

Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 130 to 192 cm and weights of 38 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yielded x̄ = 167.67 cm, ȳ = 81.53 kg, r = 0.356, P-value = 0.000, and ŷ = -106 + 1.14x. Find the best predicted value of ŷ (weight) given an adult male who is 177 cm tall. Use a 0.05 significance level.

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**Solution**

The best predicted value of ŷ for an adult male who is 177 cm tall is \(\square\) kg.
(Round to two decimal places as needed.)
Transcribed Image Text:**Transcription for Educational Website** **Exploring the Relationship between Height and Weight** Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 130 to 192 cm and weights of 38 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yielded x̄ = 167.67 cm, ȳ = 81.53 kg, r = 0.356, P-value = 0.000, and ŷ = -106 + 1.14x. Find the best predicted value of ŷ (weight) given an adult male who is 177 cm tall. Use a 0.05 significance level. --- **Solution** The best predicted value of ŷ for an adult male who is 177 cm tall is \(\square\) kg. (Round to two decimal places as needed.)
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