Use the data from the worksheet (attached) and the calculations of b1 ( 2.136359683)and b0 (223.4011768) to replicate the calculations below. (the worksheet should look like this)
Stay (Column a) 
LOS (Column b) 
TC (y) (Column c) 
xxbar 
yxybar 

(Column g) 
Yhat
(Column h) 
Yhatybar (Column I) 
yyhat (column J) 
X 
x 
X 
x 
X 
B1 
$xx 
Xx 
xx 
Xx 
X 
X 
X 
X 
X 
B0 
$xx 
Xx 
Xx 
Xx 
X 
X 
X 
X 
X 


Xxx 
Xx 
Xx 
X 

X 
X 
X 
SST 
X 
Xxx 
Xxx 
Xx 
X 
Xx 
X 
X 
X 
SSR 
X 
Xx 
Xx 
Xx 
X 

X 
X 
X 
SSE 
X 
Xx 
Xx 
Xx 
X 
X 
X 
X 
X 


X 
Xx 
Xx 
X 
X 
X 
X 
X 
R^2 
Xx 

X 
X 
X 
X 
X 
X 
X 


X 
X 
X 
X 
X 
X 
X 
X 
MSR 
Xx 
X 
X 
X 
X 
X 
X 
X 
X 
MSE 
Xx 
X 
X 
X 
X 
X 
X 
X 
X 


X 
X 
X 
Xx 
X 
X 
X 
X 
F 
Xx 
X 
X 
X 
X 
X 
Xx 
X 
X 
p 
Xx 
X 
X 
X 
X 
X 
X 
X 
Xx 


X 
X 
X 
X 
X 
X 
X 
X 
S.E. 
Xx 
X 
X 
X 

X 
x 
X 
x 
S.E.b1 
xx 
x 
x 
x 
a. Calculate the total sums of squares (SST) by using this equation
SST = ∑ (y – ?y)²
(use the =sumsq () function on the data in column E)
b. Calculate the predicted values of TC y in column H by using this equation:
y = b1x + b0
c. Calculate the difference between y and y in column I and the value of SSR (sums of squares due to regression) by using this equation:
!
SSR = ∑ (y  ?y)²
And the =sumsq ( ) function on the data on column I.
d. Calculate the values of yy in column J and the value of SSE (sums of squares due to error) by using this equation :
!
SSE = ∑ (y – y)²
and the =sumsq ( ) function on the data in column J
e. Calculate the value of R2 by using this equation:
R² = SSR/SST
g. Determine the probability of F with the =fidst ( ) function and the appropriate degrees of freedom
h. determine the standard error of regression by using this equation:
S. E. reg = √SSe / (n2)
i . Determine the standard error of b1 by using this equation:
S.E.b1 = S. E.reg / √∑ (x  ?x )²
Please use an excel worksheet. Please show functions and equations in excel. Thanks!
Subject  Mathematics 
Due By (Pacific Time)  12/08/2013 01:00 pm 
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