Part of an Excel Summary Output relating X (independent Variable) and Y (dependent variable) is shown below. Fill in all the blanks marked with %u201C?%u201D. Summary Output Regression Statistics Multiple R 0.1347 R Square ? Adjusted R Square ? Standard Error 3.3838 Observations ? ANOVA df SS MS F Significance F Regression ? 2.7500 ? ? 0.632246859 Residual ? ? 11.45 Total 14 ? Coefficients Standard Error t Stat P-value Intercept 8.6 2.2197 ? 0.0019 x 0.25 0.5101 ? 0.6322 Summary Output Regression Statistics Multiple R 0.1347 R Square ? Adjusted R Square ? Standard Error 3.3838 Observations ? ANOVA df SS MS F Significance F Regression ? 2.7500 ? ? 0.632246859 Residual ? ? 11.45 Total 14 ? Coefficients Standard Error t Stat P-value Intercept 8.6 2.2197 ? 0.0019 x 0.25 0.5101 ? 0.6322 Solution r square=r multiple*2=0.1347^2=0.018144 r adjusted squre=MSREGRESSIOM/MSTOTAL=(2.75/(151.6/14))=0.2539 OBSERVATIONS=DFTOTAL+1=14+1=15 DF of regression=1 df of RESIDUAL=14-1=13 SS residual=MS residual*df=13*11.45=148.85 SS total= SS RESIDUAL+ SS regression=151.6 MS regression= SS REGRESSION/DF=2.75 F=MS regression/MS residual=0.24017 T stat=coefficient/standard error t stat intercept=8.6/2.2197=3.874397 t stat x=0.25/0.5101=0.49009998.

1. Part of an Excel Summary Output relating X (independent Variable) and Y (dependent variable)
is shown below. Fill in all the blanks marked with %u201C?%u201D.
Summary Output
Regression Statistics
Multiple R
0.1347
R Square
?
Adjusted R Square
?

2. Standard Error
3.3838
Observations
?
ANOVA
df
SS
MS
F
Significance F
Regression
?
2.7500

3. ?
?
0.632246859
Residual
?
?
11.45
Total
14
?
Coefficients
Standard Error
t Stat
P-value
Intercept
8.6
2.2197
?
0.0019
x
0.25
0.5101

4. ?
0.6322
Summary Output
Regression Statistics
Multiple R
0.1347
R Square
?
Adjusted R Square
?

5. Standard Error
3.3838
Observations
?
ANOVA
df
SS
MS
F
Significance F
Regression
?

6. 2.7500
?
?
0.632246859
Residual
?
?
11.45
Total
14
?
Coefficients
Standard Error
t Stat
P-value
Intercept
8.6
2.2197
?
0.0019
x
0.25

7. 0.5101
?
0.6322
Solution
r square=r multiple*2=0.1347^2=0.018144
r adjusted squre=MSREGRESSIOM/MSTOTAL=(2.75/(151.6/14))=0.2539
OBSERVATIONS=DFTOTAL+1=14+1=15
DF of regression=1
df of RESIDUAL=14-1=13
SS residual=MS residual*df=13*11.45=148.85
SS total= SS RESIDUAL+ SS regression=151.6
MS regression= SS REGRESSION/DF=2.75
F=MS regression/MS residual=0.24017
T stat=coefficient/standard error
t stat intercept=8.6/2.2197=3.874397
t stat x=0.25/0.5101=0.49009998