please do not round while you solving!
We have the linear regression equation given as below:
ŷ = a + bx
Where
b = (∑XY – n*Xbar*Ybar)/(∑X^2 – n*Xbar^2)
a = Ybar – b*Xbar
From given information, we have
n = 10
∑x = 683
∑y = 813
∑x^2 = 47405
∑y^2 = 66731
∑xy = 56089
Xbar = ∑x/n = 683/10 = 68.3
Ybar = ∑y/n = 813/10 = 81.3
b = (∑XY – n*Xbar*Ybar)/(∑X^2 – n*Xbar^2)
b = (56089 - 10*68.3*81.3)/( 47405 - 10*68.3^2)
b = 0.742098
a = Ybar – b*Xbar
a = 81.3 - 0.742098*68.3
a = 30.61471
ŷ = a + bx
ŷ = 30.61471 + 0.742098x
please do not round while you solving! We have a dataset with n= 10 pairs of...
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 (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?
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 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 Σ Xi = 683, Yi = 813, i=1 i=1 n п n > x= 47,405, Xiyi = 56,089, yž = 66, 731. i=1 i=1 i=1 What is an approximate 99% prediction interval for the response yo at Xo = = 90?
We have a dataset with n= 10 pairs of observations (Li, Yi), and n n Pi = 683. Yi = 813, i=1 i=1 n n n < <* = 47,405, % 219= 56,089, { y = 66, 731. i=1 i=1 i=1 What is an approximate 95% confidence interval for the mean response at Yo = 60?
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?
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 n r; = 683, y = 813, n n n { x = 47,405, tiyi = 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...