Answer Happy

Regression Statistics
Multiple R
0.9269
R Square
0.8592
Adjusted R Sq.
0.8190
Standard Error
0.4590
Observations
10
ANOVA
df
SS
MS
F
Signific. F
Regression
2
9.0009
4.5005
21.357
0.0010
Residual
7
1.4751
0.2107
Total
9
10.4760
Coefficients
Std. Error
t Stat
P-value
Intercept
0.9305
0.4670
1.9926
0.0466
Month
0.3876
0.0626
6.1954
0.0004
Repair Type
1.2627
0.3141
4.0197
0.0051
Consider the partial Excel Regression output above. How
many independent variables are there?
Group of answer choices
3
7
9
2
Consider the partial Excel Regression output above. What
percentage of the variation in the dependent variable is explained
by the variation in the independent variable(s)?
Group of answer choices
45.90%
85.92%
81.90%
92.69%
Consider the partial Excel Regression output above.
Using σ = .05, how many independent variables, in any,
are significant?
Group of answer choices
0
2
1
3
Consider the partial Excel Regression output above. The
multiple regression equation is: y-hat =
Group of answer choices
.9305(x1) + .3876(x2) +
1.2627(x3)
.3876(x1) + 1.2627(x2)
.9305 + .3876(x1) + 1.2627(x2)
1.9926 + 6.1954(x1) + 4.0197(x2)