a. What are the confidence limits (α=0.05) for the difference between the true mean value of Y when X1 = 3 and the true mean value of Y when X2 = -2?
Fe (X) Loss in MDD (Y)
1 0.01 127.6 2 0.48 124.0 3 0.71 110.8 4 0.95 103.9 5 1.19 101.5 6 0.01 130.1 7 0.48 122.0 8 1.44 92.3 9 0.71 113.1 10 1.96 83.7 11 0.01 128.0 12 1.44 91.4 13 1.96 86.2 Thirteen specimens of 90/10 Cu-Ni alloys, each with a specific iron were tested in a corrosion-wheel setup. The wheel was rotated in salt seawater at 30 ft/s for 60 days. The corrosion was measured in weight loss in milligram/square decimeter/day, MDD. The following data were collected. Show all work.
a) The 95% Confidence interim for the contrast between evident mean estimations of Y for X1 = 3 and X2 = - 2 can be effectively determined by the recipe:
where Y1 & Y2 are the anticipated mean qualities of Y for X1 = 3 & X2 = - 2 respectively. here i have done some calculations you can find the values by substituting in above formula
Sample Size , n= 13, t critical value= t α/2 = 2.20098516 ,SSE= (Sx*Sy - S²xy)/Sx = 102.85,
Se = √(SSE/(n-2)) = 3.0578,
X Value= 3
Confidence Level= 95%
Sample Size , n= 13
Degrees of Freedom,df=n-2 = 11
critical t Value=tα/2 = 2.201
X̅ =Σx/n = 0.873
Σ(x-x̅)² =Sxx 5.709
Standard Error of the Estimate,Se= 3.058
h Statistic = (1/n+(X-X̅)^2/Sxx) = 0.869
Predicted Y (YHat) = Ŷ= 129.7866
-24.0199 *3 = 57.727
a. What are the confidence limits (α=0.05) for the difference between the true mean value of...
Statistics/Computer Science:
With a given data set (X,Y) how and what is the code to use in
R/Rstudio to receive these results (aka ANOVA)?
(у-у)2 127.6 0.744902 352.8618 -16.2126 124 0.15451 230.5725 5.96872 110.8 0.026594 3.938698 -0.32364 103.9 0.005917 24.16101 -0.37811 101.5 0.10044 53.51485 -2.31841 130.1 0.744902 453.0349 -18.3703 122 0.15451 173.8341 -5.18257 92.3 0.321402 272.7579 -9.36295 113.1 0.026594 18.35793 -0.69872 83.7 1.181402 630.7825 -27.2985 128 0.744902 368.0495 -16.5578 91.4 0.321402 303.2956 9.87318 86.2 1.181402 511.4556 -24.5812 (x-X)" (х-х)(у-у) 0.01...
Thirteen specimens of 90/10 Cu-Ni alloys, each with a specific
iron were tested in a corrosion-wheel setup. The wheel was rotated
in salt seawater at 30 ft/s for 60 days. The corrosion was measured
in weight loss in milligram/square decimeter/day, MDD. The
following data were collected.
Show all work.
Assuming a model, Y= β0+β1X+ε, what are the least
squares estimates of β0 and β1? What is the
prediction equation?
Construct an analysis of variance table and test the hypothesis
H0:...