Solution :
Correlation coefficient ( r ) = 0.8103
We have a dataset with n = 10 pairs of observations (li, Yi), and n Xi...
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 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?
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?
We have a dataset with n= 10 pairs of observations (Li, Yi), and n n Σ I i = 683, Yi = 813, i=1 i=1 n n n mm = 47, 405, Xiyi 56,089, y = 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 (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 the coefficient of
correlation for this data?
We have a dataset with n= 10 pairs of observations (li, yi), and n n Σ ti = 683, Σ9: = 813, i=1 η α? = 47, 405,...
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 (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 the line of best fit for this data?
We have a dataset with n = 10 pairs of observations (xi, Yi), and n n Xi = = 683, si = = 813, i=1 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 ;ا n n Xi = 683, Yi = 813, i=1 i=1 n n { x = 47, 405, Xiyi = 56,089, vi = 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 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...