From the given data we calculate the following to get the se(b0).
The sum of squares due to regression RSS=
Total sum of squares TSS=
Error SS=TSS-RSS=217.7077
Mean square error =ESS/8=27.2135.
Standard error s=5.2167
The standard error of
is given by
The 95% confidence interval for the intercept is
The 95% confidence interval for the intercept is (0.4929,60.7363).
29. Short Answer Question We have a dataset with n = 10 pairs of observations (Li,...
26. Short Answer Question We have a dataset with n = 10 pairs of observations (li, yi), and 2 = 683 yi=813, i1 12 2* = 47, 405, = 56,089, Dy? = 66, 731. What is an approximate 95% confidence interval for the intercept of the line of best fit? 27. Short Answer Question We have a dataset with n = 10 pairs of observations (li, Yi), and Σ Xi = 683, 9: = 813, T2 <* = 47, 405,...
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 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 (li, yi), and n n r; = 683, yi = 813, i=1 i=1 n n n _ x* = 47,405, viyi = 56,089, {y} = 66, 731. i=1 i=1 i=1 What is an approximate 95% confidence interval for the slope of the line of best fit? What is an approximate 99% confidence interval for the intercept of the line of best fit?
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...
Short Answer Question We have a dataset with n= 10 pairs of observations (Li, Yi), and n n t; = 683, Yi = 813, i=1 i=1 n n n 1} = 47,405, tiyi = 56,089, {y} = 66, 731. i=1 i=1 i=1 What is an approximate 95% confidence interval for the slope of the line of best fit?
Short Answer Question We have a dataset with n = 10 pairs of observations (Li, Yi), and n n Στ. = 683, Σμι = 813, i=1 n n n { x = 47,405, Xiyi = 56,089, y = 66, 731. i=1 What is an approximate 95% confidence interval for the mean response at zo = 90?
29. Short Answer Question We have a dataset with n = 10 pairs of observations (Li, yi), and n Xi = 683, vi = 813, i=1 i=1 2* = 47,405, Xiyi = 56,089, y i=1 i=1 What is an approximate 95% confidence interval for the slope of the line of best fit?
25. Short Answer Question We have a dataset with n = 10 pairs of observations (Li, Yi), and n n di = 683, Yi = 813, n n2 -* = 47,405, Xiyi = 56,089, ył = 66, 731. i=1 What is an approximate 95% prediction interval for the response yo at Xo = 60?
31. Short Answer Question We have a dataset with n = 10 pairs of observations (li, yi), and 72 22 683, yi = 813, 1 11 72 n 2} = 47,405, «xy = 56,089, y = 66, 731. i=1 What is the mean squared error estimate for the variance of the residuals?