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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. Complete parts (a) and (b). Click the icon to see the output from several 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. 0+0 (Round to three decimal places as needed.) . X Statistical Outputs The regression equation is FootL = 5.5 + 1.19 HandL Simple linear regression results: Dependent Variable: FootL Independent Variable: HandL FootL = 5.5204545 + 1.193182 HandL Sample size: 15 R(correlation coefficient) = 0.8234 R-sq = 0.67794422 Estimate of error of standard deviation: 1.235334 Coefficients Intercept 5.520455 X Variable 1. 193182 LinReg y = a + bx a = 5.520454548 b = 1. 193181818 12 = 0.677944215 r =0.823373679 Print er Done