n= | 10 |
Σx= | 683 |
Σx2 = | 47405 |
Σy = | 813 |
Σy2 = | 66731 |
Σxy= | 56089 |
SSx=Σx2-(Σx)2/n= | 756.1000 |
SSy=Σy2-(Σy)2/n= | 634.1000 |
SP=Σxy-(ΣxΣy)/n= | 561.1000 |
b1= SP/Sxx = | 0.7421 |
b0=(Σy-bo*Σx)/n= | 30.6147 |
SSE =Syy-(Sxy)2/Sxx= | 217.7090 |
σ̂2=SSE/(n-2)= | 27.2136 |
σ̂=√σ̂2= | 5.2167 |
predicted value at X=60 is:0.742*60+30.6147=75.14 |
standard error of CI=s*√(1/n+(x0-x̅)2/Sxx)= | 2.2805 | ||
for 95 % CI value of t= | 2.3060 | (from excel:tinv(0.05,8) | |
margin of error E=t*std error= | 5.2589 | ||
lower confidence bound=xo-E= | 69.8817 | ||
Upper confidence bound=xo+E= | 80.3995 |
from above 95% confidence interval =(69.8817 ; 80.3995)
We have a dataset with n= 10 pairs of observations (Li, Yi), and n n Pi...
We have a dataset with n = 10 pairs of observations (li, Yi), and n n Xi = 683, Σ Yi = = 813, i=1 n п n < x; = 47,405, Xiyi = 56,089, Xyz 66, 731. i=1 i=1 i=1 What is an approximate 99% confidence interval for the mean response at xo = 90?
We have a dataset with n = 10 pairs of observations (li, yi), and x = 683, Yi = 813, i=1 n > z* = 47,405, < <iyi = 56,089, Ly} = 66, 731. i=1 i=1 What is an approximate 99% confidence interval for the slope of the line of best fit? We have a dataset with n = 10 pairs of observations (li, Yi), and { x: = 683, yi = 813, i=1 i=1 n r* = 47,405, xiyi...
We have a dataset with n = 10 pairs of observations (Li, Yi), and n X; = 683, Yi = 813, i=1 i=1 2* = 47, 405, XiYi = 56,089, Cy? = 66, 731. i=1 i=1 i=1 What is the coefficient of correlation for this data? We have a dataset with n = 10 pairs of observations (li, Yi), and di = 683, Yi = 813, n x* = 47,405, x:yi = 56,089, y = 66, 731. i=1 i=1 i=1...
We have a dataset with n = 10 pairs of observations (Li, yi), and n Σ Xi = 683, yi = 813, i=1 n n r} = 47,405, tiyi = 56,089, y = 66, 731. i=1 i=1 What is an approximate 95% prediction interval for the response yo at Xo = 60?
We have a dataset with n = 10 pairs of observations (Li, Yi), and n n Σ Xi = 683, Yi = 813, i=1 i=1 n п n > x= 47,405, Xiyi = 56,089, yž = 66, 731. i=1 i=1 i=1 What is an approximate 99% prediction interval for the response yo at Xo = = 90?
Short Answer Question We have a dataset with n= 10 pairs of observations (Li, Yi), and n n ri = 683, yi = 813, i=1 n n n <* = 47,405, :9; = 56,089, 4 = 66, 731. i=1 What is the coefficient of correlation for this data?
26. Short Answer Question We have a dataset with n= 10 pairs of observations (Li, Yi), and n2 n Ti = 683, yi = 813, i=1 i=1 12 n r* = 47,405, tiyi = 56,089, y = 66, 731. Σ- Σ - i=1 What is an approximate 99% confidence interval for the mean response at Io = 90? 27. Short Answer Question We have a dataset with n = 10 pairs of observations (L'i, yi), and n2 Xi = 683,...
We have a dataset with n= 10 pairs of observations (Li, Yi), and n n 683, Yi = 813, i=1 i=1 n2 72 n a = 47,405, Tiyi = 56,089, { y = 66, 731. i=1 i=1 What is an approximate 99% prediction interval for the response yo at 20 = 90?
please do not round while you solving!
We have a dataset with n= 10 pairs of observations (Li, Yi), and n < x; = 683, Yi = 813, i=1 i=1 n r = 47,405, xiyi = 56,089, yz = = 66, 731. i=1 i=1 i=1 What is the line of best fit for this data?
We have a dataset with n = 10 pairs of observations (Li, Yi), and n I ti = 683, yi = 813, i=1 i=1 > z* = 47,405, { xiyi = 56,089, L y = 66, 731. i=1 What is an approximate 95% confidence interval for the intercept of the line of best fit?