Giraffes are believed to have excellent vision.
suppose that in a study of giraffe eyeâ characteristics, data were collected for a sample of 27 giraffes. of interest to the researchers was how these eye characteristics relate to aâ giraffe's body mass.
they fit a simple linear regression equation of the form ln (y )equalsbeta 0plusbeta 1ln (x )plusepsilonâ, where y represents an eye characteristic and x represents body massâ (measured inâ kilograms).

for thisâ model, the slope beta 1 represents the percentage change in y for everyâ 1% increase in x.
complete parts a and b below.

a. for the eye characteristic yequalseye massâ (grams), the regression equation yielded the following 90â% confidence interval for beta 1â: â(0.26â,0.29â). give a practical interpretation of this interval.

b. we are 85â% confident that for everyâ 1% increase in body mass comma the increase in bold ln (eye mass )will be between 2 and 2. â(type integers or decimals. do not round. use ascendingâ order.)