Prehistoric pottery vessels are usually found as sherds (broken pieces) and are
ID: 3295296 • Letter: P
Question
Prehistoric pottery vessels are usually found as sherds (broken pieces) and are carefully reconstructed if enough sherds can be found. Information taken from Mimbres Mogollon Archaeology by A. I. Woosley and A. J. McIntyre (University of New Mexico Press) provides data relating x = body diameter in centimeters and y = height in centimeters of prehistoric vessels reconstructed from sherds found at a prehistoric site. The following Minitab printout provides an analysis of the data.
6. -15 points B8UnderStat11 9.3.006. My Notes Ask Your Teacher Prehistoric pottery vessels are usually found as sherds (broken pieces) and are carefully reconstructed if enough sherds can be found. Information taken from Mimbres Mogollon Archaeology by A. I. woosley and A. J. McIntyre (University of New Mexico Press) provides data relating x = body diameter in centimeters and y = height in centimeters of prehistoric vessels reconstructed from sherds found at a prehistoric site. The following Minitab printout provides an analysis of the data Predictor Constant Dianeter S 4.17000 Coef -0.230 0.7986 R-Sa 70.7 SE Coef 2.429 0.1524 -0.09 0.929 5.33 0.023 (a) The standard error Se of the linear regression model is given in the printout as "S." What is the value of Se? (b) The standard error of the coefficient of the predictor variable is found under "SE Coef." Recall that the standard error for b is S -(1/n)(2x)*. From the Minitab display, what is the value of the standard error for the slope b? (c) The formula for the margin of error E for a c% confidence interval for the slope can be written as E = tdSE Coen. The Minitab display is based on n = 10 data pairs. Find the critical value tc for a 90% confidence interval in the relevant table. Then find a 90% confidence interval for the population slope B (use 3 decimal places.) tc lower limit upper limit Need Help?Read It Submit Answer Save Progress Practice Another VersionExplanation / Answer
Answer:
a). S= 4.17000
b). standard error of regression coefficient = 0.1524
c).
df for t=8
critical t = 2.306
lower limit = 0.7986-2.306*0.1524 = 0.447
upper limit = 0.7986+2.306*0.1524 = 1.150