A random sample of 130130 male engineering students is obtained, and their heights are measured in inches and centimeters. From the regression analysis, the predicted height for a student who is 70 70\text{ }inches tall is found to be 177.8 cm177.8\text{ cm}. The sum of squared residuals from the regression is 42.25 cm2\text{42.25 cm}^2.i. What is the value of the standard error of estimate (SESE)?ii. For a student whose height is 7070 inches, what is the 95%95\% prediction interval?

i. SE=0.57 cmSE=0.57\text{ cm}ii. (176.66 cm, 178.94cm)\left(176.66\text{ cm, }178.94\right.\text{cm)}

i. SE=0.46 cmSE=0.46\text{ cm}ii. (176.45 cm, 179.15cm)\left(176.45\text{ cm, }179.15\right.\text{cm)}

i. SE=0.46 cmSE=0.46\text{ cm}ii. (176.45 cm, 178.94cm)\left(176.45\text{ cm, }178.94\right.\text{cm)}

i. SE=0.57 cmSE=0.57\text{ cm}ii. (176.66 cm, 179.15cm)\left(176.66\text{ cm, }179.15\right.\text{cm)}

A random sample of 130130 male engineering students is obtained, ...

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