or question 2, is ANOVA table values correct and is multiple coefficient of determination 65.79%

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For question 2, is ANOVA table values correct and is multiple coefficient of determination 65.79%
|MSR=
SST =
dfrey
1-R2
SSR=168.481
299.52
(-0.3600 468 468=55R+299.52
2) Multiple regression analysis was used to study the relationship between a dependent variable, y,
and four independent variables; x₁, x2, x3, and x4. The following is a partial result of the regression
analysis involving 31 observations.
[std error)² x df
Intercept
X1
X2
x3
X4
ANOVA
Error
error
df
Regression K
Total
Coefficients
18.00
12.00
24.00
-36.00
16.00
Standard Error
6.00
8.00
48.00
36.00
2.00
SS
SSR=MSR.df
ASSESST-SSR
1 = 760-500= (260)
= SST
=
=
n-k-1=1261
n-1=30 760
MS
125.4-500125
I
=
MSR
MSE=SSE/af E
260/26 = (10)
F
Eskut=
MSR
MSE
P-value w
=FDIST (125
= 0.000
125
=168.48
4
a) Compute the multiple coefficient of determination. See attached
b) Perform at test and determine whether or not B₁ is significantly different from zero (a = .05).
c) Perform at test and determine whether or not ß4 is significantly different from zero (a = .05).
d) At a = .05, perform an F test and determine whether or not the regression model is significant.
12.5
Transcribed Image Text:|MSR= SST = dfrey 1-R2 SSR=168.481 299.52 (-0.3600 468 468=55R+299.52 2) Multiple regression analysis was used to study the relationship between a dependent variable, y, and four independent variables; x₁, x2, x3, and x4. The following is a partial result of the regression analysis involving 31 observations. [std error)² x df Intercept X1 X2 x3 X4 ANOVA Error error df Regression K Total Coefficients 18.00 12.00 24.00 -36.00 16.00 Standard Error 6.00 8.00 48.00 36.00 2.00 SS SSR=MSR.df ASSESST-SSR 1 = 760-500= (260) = SST = = n-k-1=1261 n-1=30 760 MS 125.4-500125 I = MSR MSE=SSE/af E 260/26 = (10) F Eskut= MSR MSE P-value w =FDIST (125 = 0.000 125 =168.48 4 a) Compute the multiple coefficient of determination. See attached b) Perform at test and determine whether or not B₁ is significantly different from zero (a = .05). c) Perform at test and determine whether or not ß4 is significantly different from zero (a = .05). d) At a = .05, perform an F test and determine whether or not the regression model is significant. 12.5
Ideakify
p-value
R² =
SSR
SST
Hypotheses
D
SOD
760
The value for multiple coeff, of determination is 65.79%
State
Coeff.
SE
where Bu
H₂: B₁ = 0
HA: B₁ #4
where B, is the population slope for
from Excel=
Calculate test statistic:
0.0000
t=
= 0.6579 = 65.79%
без сист
Because p-value <
is the std. error
12
t = = = 1.5
p-value from Excel
0.1957
3 Show
р.з
X₁
(0.05)
of the coefficient.
= TDIST (1.5, 26, 2) =
=
Sign its cont
Draw conclusion:
Since
p-value (0.1457) > x (0.05)
we FTR Ho with 95% confidence.
and conclude
to find that B is. Significantly different from Ø.
that there is not sufficient evidence
with 95% confidence.
1
L
COLLEGE O
iables,
able.
Transcribed Image Text:Ideakify p-value R² = SSR SST Hypotheses D SOD 760 The value for multiple coeff, of determination is 65.79% State Coeff. SE where Bu H₂: B₁ = 0 HA: B₁ #4 where B, is the population slope for from Excel= Calculate test statistic: 0.0000 t= = 0.6579 = 65.79% без сист Because p-value < is the std. error 12 t = = = 1.5 p-value from Excel 0.1957 3 Show р.з X₁ (0.05) of the coefficient. = TDIST (1.5, 26, 2) = = Sign its cont Draw conclusion: Since p-value (0.1457) > x (0.05) we FTR Ho with 95% confidence. and conclude to find that B is. Significantly different from Ø. that there is not sufficient evidence with 95% confidence. 1 L COLLEGE O iables, able.
Expert Solution
Step 1: Solution

Given that:

n equals 31 space o b s e r v a t i o n space
k equals 4 space i n d e p e n d n e t space v a r i a b l e s space
S S T equals 760 space s u m space o f space s q u a r e s space o f space t o t a l space
M S R equals 125 space m e a n space s u m space o f space s q u a r e s space o f space r e g r e s s i o n space

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