Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 139 to 190 cm and weights of 40 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x = 167.72 cm, y = 81.45 kg, r=0.229, P-value = 0.022, and y 103 +1.02x. Find the best predicted value of y (weight) given an adult male who is 170 cm tall. Use a 0.05 significance level. == A

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 94E
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Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and
range from heights of 139 to 190 cm and weights of 40 to 150 kg. Let the predictor
variable x be the first variable given. The 100 paired measurements yield x = 167.72 cm,
y=81.45 kg, r=0.229, P-value = 0.022, and ŷ = -103 +1.02x. Find the best predicted
value of y (weight) given an adult male who is 170 cm tall. Use a 0.05 significance level.
Click the icon to view the critical values of the Pearson correlation coefficient r.
The best predicted value of y for an adult male who is 170 cm tall is
(Round to two decimal places as needed.)
kg.
Transcribed Image Text:Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 139 to 190 cm and weights of 40 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x = 167.72 cm, y=81.45 kg, r=0.229, P-value = 0.022, and ŷ = -103 +1.02x. Find the best predicted value of y (weight) given an adult male who is 170 cm tall. Use a 0.05 significance level. Click the icon to view the critical values of the Pearson correlation coefficient r. The best predicted value of y for an adult male who is 170 cm tall is (Round to two decimal places as needed.) kg.
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