A regression model relating , number of salespersons at a branch office, to y, annual sales at the office (in thousands of dollars) provided the following regression output. Where total = 40. 1 Intercept Number of Salespersons a. Write the estimated regression equation (to whole number). 88 + ANOVA Regression Residual Total 119.85 $ df Coefficients 88.0 58.0 10.38 SS 6,761.8 8,905.8 MS F Standard Error 11.338 5.589 ŷ 58 T b. Compute the F statistic and test the significance of the relationship at a 0.05 level of significance. (to 2 decimals) F-value p-value is less than 0.01 # F we reject Ho c. Compute the t statistic and test the significance of the relationship at a 0.05 level of significance. (to 2 decimals) t Stat p-value is less than 0.01 : we reject Ho: B₁= d. Predict the annual sales at the Memphis branch office. This branch employs 14 salespersons. thousand (to whole number) Significance F t Stat P-value

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The first three parts a,b,c have already been answered. Please help with the last blank of part c and part d. Thank you
A regression model relating , number of salespersons at a branch office, to y, annual sales at the office (in thousands of dollars) provided the following
regression output. Where total = = 40.
O Icon Key
Q
I
4
R
F
10.38
V
%
5
T
ANOVA
Intercept
Number of
Salespersons
a. Write the estimated regression equation (to whole number).
ŷ=
88 +
58 T
b. Compute the F statistic and test the significance of the relationship at a 0.05 level of significance. (to 2 decimals)
119.85
t Stat
p-value is less than 0.01
# , we reject
Ho: B₁=
d. Predict the annual sales at the Memphis branch office. This branch employs 14 salespersons.
$
thousand (to whole number)
G
Regression
Residual
Total
F-value
p-value is less than 0.01
# , we reject
Ho
c. Compute the t statistic and test the significance of the relationship at a 0.05 level of significance. (to 2 decimals)
6
B
Coefficients
Y
H
df
MacBook Pro
&
88.0
58.0
.
7
N
SS
6,761.8
8,905.8
U
*00
MS F
Standard Error
11.338
5.589
8
J
D
M
(
9
Significance F
K
t Stat P-value
<
%
O
-C
<
H
L
P
-
T
+
{
1
[
S
21
11
?
I
C
1
Transcribed Image Text:A regression model relating , number of salespersons at a branch office, to y, annual sales at the office (in thousands of dollars) provided the following regression output. Where total = = 40. O Icon Key Q I 4 R F 10.38 V % 5 T ANOVA Intercept Number of Salespersons a. Write the estimated regression equation (to whole number). ŷ= 88 + 58 T b. Compute the F statistic and test the significance of the relationship at a 0.05 level of significance. (to 2 decimals) 119.85 t Stat p-value is less than 0.01 # , we reject Ho: B₁= d. Predict the annual sales at the Memphis branch office. This branch employs 14 salespersons. $ thousand (to whole number) G Regression Residual Total F-value p-value is less than 0.01 # , we reject Ho c. Compute the t statistic and test the significance of the relationship at a 0.05 level of significance. (to 2 decimals) 6 B Coefficients Y H df MacBook Pro & 88.0 58.0 . 7 N SS 6,761.8 8,905.8 U *00 MS F Standard Error 11.338 5.589 8 J D M ( 9 Significance F K t Stat P-value < % O -C < H L P - T + { 1 [ S 21 11 ? I C 1
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