Measurements were made for a sample of adult men. Assume that the association between their hand length and foot length is linear. Output for predicting foot length from hand length is provided from several different statistical technologies.
a. Report the equation for predicting foot length from hand length. Use the variable names FootL and HandL in the equation, rather than x and y.
b. Report the slope and intercept from each technology, using all the digits given.

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The regression equation is FootL = 15.8 + 0.563 HandL From Minitab Simple linear regression results: Dependent Variable: FootL Independent Variable: HandL FootL= 15.807631 + 0.5626551 HandL Sample size: 17 R (correlation coefficient) 0.404 R-sq 0.1632489 Estimate of error standard deviation: 1.6642156 From StatCrunch Coefficients Intercept 15.80763 X Variable 0.562655 From Excel NORMAL 「LOAT RUTO REAL RADIAN MP inRe yratbx a-15.80763027 b.5626550868 r2.1632489032 re.4040407197 From TI-84