| 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 |
| b=(Σy-bo*Σx)/n= | 30.6147 |
| predicted value at X=60 is:0.7421*60+30.6147= | 75.141 | |
| standard error of PI=s*√(1+1/n+(x0-xbar)2/Sxx)= | 5.6934 | ||
| for 99 % CI value of t= | 3.355 | (from excel:tinv(0.01,8) | |
| margin of error E=t*std error= | 19.1013 | ||
| lower confidence bound=xo-E= | 56.0393 | ||
| Upper confidence bound=xo+E= | 94.2419 | ||
prediction interval =(56.0393 ; 94.2419)
We have a dataset with n= 10 pairs of observations (Li, Yi), and ;ا n n...
We have a dataset with n = 10 pairs of observations (xi; yi),
and
Xn
i=1
xi = 683;
Xn
i=1
yi = 813;
Xn
i=1
x2i
= 47; 405;
Xn
i=1
xiyi = 56; 089;
Xn
i=1
y2
i = 66; 731:
What is an approximate 95% prediction interval for the response y0
at x0 = 60?
We have a dataset with n= 10 pairs of observations (li, Yi), and n n Ii 683, Yi = 813, i=1 п...
We have a dataset with n = 10 pairs of observations (li, yi), and n X; = 683, Yi = 813, n _ x* = 47, 405, Xiyi = 56,089, y = 66, 731. i=1 What is an approximate 95% confidence interval for the mean response at Xo = 60?
We have a dataset with n = 10 pairs of observations (Li, Yi), and Xi = 683, Yi = 813, n { x = 47, 405, Xiyi = 56,089, y = 66, 731. i=1 What is an approximate 95% confidence interval for the mean response at 10 = 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?
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...
Short Answer Question We have a dataset with n = 10 pairs of observations (xi, Yi), and n ri = 683, 683, yi = 813, i=1 i=1 n n r* = 47, 405, riyi = 56,089, y= 66, 731. i=1 i=1 i=1 What is an approximate 99% prediction interval for the response yo at Xo = 60?
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 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 Xi = - 683, Yi = 813, i=1 i=1 n n n Στ = 47, 405, Σ tiyi = 56,089, y = 66, 731. i=1 i=1 i=1 What is an approximate 99% confidence interval for the mean response at Xo = 90?
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,...