Measurements were made for a sample of adult men. A regression line was fit to predict the men€™s armspan from their height. The output from several different statistical technologies is provided. The scatterplot confirms that the association between armspan and height is linear.
a. Report the equation for predicting armspan from height. Use words such as €œArmspan,€ not just x and y.
b. Report the slope and intercept from each technology, using all the digits given.

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(A) 195 190 185 180 175 170 160 62 64 66 68 70 72 74 76 Height (inches) The regression equation is Armspan6.2 2.51 Height From Minitab Simple linear regression results: Dependent Variable: Armspan Independent Variable: Height Armspan 6.2408333 2.514674 Height Sample size: 15 R (correlation coefficient)- 0.8681 R-sq 0.7535989 Estimate of error standard deviation: 5.409662 rom StatCrunch Intercept 6.240833 X Variable 2.514674 From Excel MORMAL FLORT AUTO REAL RADIRN HP nRe a 6.240833333 b=2.514673913 r2.7535988997 .8681007428 From TI-84