Answer :
Obtain the regression equation.
Use MINITAB to analyze the given data.
MINITAB procedure:
Step 1: Choose Stat > Regression > Regression.
Step 2: In Responses, enter the column of Age (yrs).
Step 3: In Predictors, enter the column of LN [ (1 + (R / L)) / (1-(R/L))). Step 4: In Options, enter the value of Prediction interval for new observation as 0.0901.
Step 5: Click OK.
MINITAB output:
Regression Analysis: Age(yrs) versus LN[(1+R/L)}{1-{R/L)}]
The regression equation is Age (yrs) =- 26 \ 809 LN (1+ (R/L))/(1-(R/L))]
Predictor Coef SE Coef
Constant
-26.7252.025P-13.20 31.57 0.000
LNI ( 1 + (R / I) )/ (I - (R / L)) * 1
808.66
25.61
s = 2.41117
R - Sq = 97.54
R - sq(adj) = 97.44
Analysis of Variance
Source MS
5795.7
996.900.000
Regression
15795.7
Residual Error 26 151.2
Total275946.95.8
Predicted Values for New Observations
New Ob s Fit SE Fit95% CI95% PI
146.103 0.565
(44.942, 47.264)
(41.013, 51.193)
Values of Predictors for New Observations
learn more about amino acids here
https://brainly.com/question/2526971
#SPJ4