| 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 |
| SST=Syy= | 634.1 |
| SSE =Syy-(Sxy)2/Sxx= | 217.7090 |
| SSR =(Sxy)2/Sxx = | 416.3910 |
| b1= SSxy/Sx = | 0.7421 |
| σ̂2=SSE/(n-2)= | 27.2136 |
| sb1 =σ̂/√SSx = | 0.1897 |
| for 99% confidence and n-2 degree of freedom critical t = | 3.355 | ||
| lower bound =b1-t*sb1= | 0.1056 | ||
| upper bound =b1+t*sb1= | 1.3786 | ||
therefore 99% confidence interval for the slope =(0.1056 , 1.3786)
We have a dataset with n= 10 pairs of observations (li, Yi), and n 72 2;...
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 (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...
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 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 n Στι 683, yi = 813, i=1 i=1 n n n 3x3 = 47, 405, Xiyi = 56,089, yž = 66, 731. i=1 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 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?
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 Στ. = 683. Σ - 683, Σμι = 813, i=1 i=1 Σ? = 47, 405, Στ.μ. = 56, 089, Συ? = 66, 731. i=1 What is an approximate 95% confidence interval for the intercept of the line of best fit?
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?
We have a dataset with n = 10 pairs of observations (Li, Yi), and n τη α, = 683, 9 = 813, 1=1 Σ Σ? = 47, 405, Στ.μ. = 56, 089, Συ? = 66, 731. ΤΟ =1 1=1 What is the line of best fit for this data? What is an approximate 95% prediction interval for the response yo at 20 60? What is an approximate 95% confidence interval for the mean response at :20 60? What is an...