Question
Can someone show me how to do this without any shortcuts or excel? In a multiple...
Can someone show me how to do this without any shortcuts or excel?
In a multiple regression analysis, k = 5 and n = 23, the MSE value is 8.37, and SS total is 515.34. At the 0.05 significance level, can we conclude that any of the regression coefficients are not equal to 0? (Round your answers to 2 decimal places.)
H0: β1 = β2 = β3 = β4 = β5 = 0
H1: Not all β's equal zero.
df1=_____
Df2=______, so H0 is rejected if F>_______
| Source | SS | DF | MS | F |
| Regression | ||||
| Error | ||||
| Total |
Homework Answers
Answer #1
Not the answer you're looking for?
Similar Questions
In a multiple regression equation k = 4 and n = 27, the MSE value is...
In a multiple regression equation k = 4 and n
= 27, the MSE value is 4.20, and SST is 540.56.
a. At the 0.05 significance level, can we
conclude that any of the regression coefficients are not equal to
0? (Round the F value to 2 decimal
places.)
H0: β1 = β2 =
β3 = β4 = β5 =
0 H1:
Not all β's equal zero.
df1 = ? df2 = ? , so
H0 is rejected if F >...
In a multiple regression analysis, k = 5 and n = 21, the MSE value is...
In a multiple regression analysis, k = 5 and n
= 21, the MSE value is 3.58, and SS total is 498.46. At the 0.05
significance level, can we conclude that any of the regression
coefficients are not equal to 0? (Round your answers to 2
decimal places.)
H0: β1 = β2 =
β3 = β4 = β5 = 0
H1: Not all β's equal zero.
Complete the following ANOVA table.
The following regression output was obtained from a study of architectural firms. The dependent variable is...
The following regression output was obtained from a study of
architectural firms. The dependent variable is the total amount of
fees in millions of dollars.
Predictor
Coeff
SE
Coeff
t
p-value
Constant
8.366
3.002
2.787
0.010
X1
0.225
0.301
0.748
0.000
X2
–1.216
0.538
–2..260
0.028
X3
-0.070
0.377
–0.186
0.114
X4
0.552
0.322
1.714
0.001
X5
-0.049
0.028
–1.750
0.112
Analysis of Variance
Source
DF
SS
MS
F
p-value
Regression
5
2197.68
439.5
9.68
0.000
Residual Error
59
2679.56...
The following regression output was obtained from a study of architectural firms. The dependent variable is...
The following regression output was obtained from a study of
architectural firms. The dependent variable is the total amount of
fees in millions of dollars.
Predictor
Coefficient
SE Coefficient
t
p-value
Constant
9.387
3.069
3.059
0.010
x1
0.232
0.204
1.137
0.000
x2
−
1.214
0.584
−
2.079
0.028
x3
−
0.273
0.424
−
0.644
0.114
x4
0.642
0.362
1.773
0.001
x5
−
0.060
0.028
−
2.143
0.112
Analysis of Variance
Source
DF
SS
MS
F
p-value
Regression
5
2,364.50
472.9...
Refer to the following regression output: Predictor Coef SE Coef Constant 30.00 13.70 X1 -7.00 3.60...
Refer to the following regression output:
Predictor
Coef
SE Coef
Constant
30.00
13.70
X1
-7.00
3.60
X2
3.00
9.30
X3
-19.00
10.80
Source
DF
SS
MS
F
Regression
3.00
8,200.00
Error
25.00
Total
28.00
10,000.00
a. What is the regression equation?
(Round the final answers to the nearest whole number.
Negative answer should be indicated by a minus sign.)
Y′
= + X1
+ X2
+ X3
b. If X1 = 4,
X2 = 6, and X3 = 8, what is
the value of...
PLEASE SHOW THE PROCESS A policy analyst would like to predict well-being from a set of...
PLEASE SHOW THE PROCESS
A policy analyst would like to predict well-being from a set of
five predictor variables for a sample of 49 teachers. A multiple
linear regression analysis was conducted. Complete the following
ANOVA summary table for the test of significance of the overall
regression model. Except for the P-value, report all
answers accurate to 3 decimal places; report the P-value
accurate to 4 decimal places. Use a significance level of
α=0.05α=0.05.
Source
SS
df
MS
F
P-value...
Refer to the ANOVA table for this regression. Source d.f. SS MS Regression 3 1,154,649 384,883...
Refer to the ANOVA table for this regression.
Source
d.f.
SS
MS
Regression
3
1,154,649
384,883
Error
18
349,308
19,406
Total
21
1,503,957
(a) State the degrees of freedom for the
F test for overall significance.
The degrees of freedom for regression are _____ and for error
_____.
(b) Use Appendix F to look up the critical value
of F for α = .05. (Round your answer to 2
decimal places.)
F.05 ________
(c-1) Calculate the F statistic.
(Round your...
In an experiment to assess the effect of the angle of pull on the force required...
In an experiment to assess the effect of the angle of pull on
the force required to cause separation in electrical connectors,
four different angles (factor A) were used, and each of a
sample of five connectors (factor B) was pulled once at
each angle. The data appears in the accompanying table.
B
1
2
3
4
5
A
0°
45.5
42.1
39.9
36.7
45.9
2°
44.1
44.2
38.2
38.1
47.5
4°
42.7
42.8
42.8
42.3
48.6
6°
43.8
45.5...
In an experiment to assess the effect of the angle of pull on the force required...
In an experiment to assess the effect of the angle of pull on
the force required to cause separation in electrical connectors,
four different angles (factor A) were used, and each of a sample of
five connectors (factor B) was pulled once at each angle. The data
appears in the accompanying table. B 1 2 3 4 5 A 0° 45.1 42.2 39.6
36.8 45.8 2° 44.3 44.2 38.5 38.2 47.1 4° 42.7 42.8 42.5 42.3 48.7
6° 43.5 45.6...
in a multiple regression analysis, two independent variables are considered, and the sample size is 30....
in a multiple regression analysis, two independent variables are
considered, and the sample size is 30. The regression coefficients
and the standard errors are as follows.
b1 = 1.331
Sb1 = 0.80
b2 = −2.922
Sb2 = 0.64
Conduct a test of hypothesis to determine whether either
independent variable has a coefficient equal to zero. Would you
consider deleting either variable from the regression equation? Use
the 0.05 significance level. (Negative amounts should be
indicated by a minus sign. Round...
ADVERTISEMENT
Need Online Homework Help?
Get Answers For Free
Most questions answered within 1 hours.
ADVERTISEMENT
Active Questions
asked 2 minutes ago
asked 8 minutes ago
asked 13 minutes ago
asked 20 minutes ago
asked 21 minutes ago
asked 21 minutes ago
asked 29 minutes ago
asked 34 minutes ago
asked 36 minutes ago
asked 37 minutes ago
asked 44 minutes ago
asked 1 hour ago