26)
26. 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 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 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...
29. Short Answer Question We have a dataset with n = 10 pairs of observations (Li, Yi), and 72 72 T 683, 4x = 813, IM-IM: 11 n n x = 47,405, y = 56,089, 42 = 66, 731. i=1 11 i1 What is an approximate 95% confidence interval for the intercept of the line of best fit?
Short Answer Question We have a dataset with n = 10 pairs of observations (li, Yi), and n n Σ Ij = 683, yi = 813, i=1 i=1 n n < 1* = 47, 405, liyi = 56,089, { y = 66,731. i=1 i=1 i=1 What is an approximate 99% confidence interval for the intercept of the line of best fit?
Short Answer Question We have a dataset with n = 10 pairs of observations (Li, Yi), and n n Xi = 683 Yi = 813, i=1 n n n x= 47, 405, Xiyi = 56,089, Ly? = 66, 731. i=1 i=1 i=1 What is the coefficient of correlation for this data?
25. Short Answer Question We have a dataset with n= 10 pairs of observations (Li, Yi), and n n r; = 683, Vi = 813, i=1 i=1 12 n n 1 = 47, 405, iyi = 56,089, y = 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 n i = 683, Yi = 813, i=1 i=1 n n n r = 47, 405, 1:yi = 56,089, y = 66, 731. i=1 i=1 What is an approximate 99% confidence interval for the intercept of the line of best fit?
Short Answer Question We have a dataset with n= 10 pairs of observations (li, Yi), and n Σ X; = 683, Yi = 813, i=1 i=1 n n { x = 47,405, Xiyi = 56,089, y = 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 (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 99% confidence interval for the intercept of the line of best fit? We have a dataset with n= 10 pairs of observations (ri, Yi), and n n Σ Xi = 683, 2 yi...
do not round answer! We have a dataset with n = 10 pairs of observations (Li, Yi), and 2. 683, Σ % = 813, IM:IM: 1-1 72 r} = 47, 405, Xiyi = 56,089, y = 66, 731. 1=1 i=1 What is an approximate 99% confidence interval for the slope of the line of best fit?