Equation of regression line is Ŷ = a + bX
b = 0.742
a =( Σ Y - ( b * Σ X) ) / n
a =( 813 - ( 0.7421 * 683 ) ) / 10
a = 30.615
Equation of regression line becomes Ŷ = 30.615 + 0.742 X
Short Answer Question We have a dataset with n= 10 pairs of observations (li, Yi), and...
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...
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...
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,...
Short Answer Question 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 n n 2+ = 47,405, Xiyi = 56,089, y = 66, 731. i=1 i=1 i=1 What is an approximate 95% confidence interval for the mean response at Xo = 90?
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?
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 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 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?
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?