The model summary shows that the independent variables (Promosi, Outlet, Pesaing, and Income) together predict 88.5% of the variation in Sales, with an adjusted R-square of 86.6%. The ANOVA table shows that the regression model is statistically significant (p < 0.001). The coefficients table indicates that only Promosi has a statistically significant relationship with Sales (p < 0.001), while Outlet, Pesaing, and Income do not.

1. Sales
(Y)
205
206
250
245
220
290
240
207
202
245
205
286
312
265
322
240
202
286
322
245
260
243
256
260
240
205
322
265
312
Promosi
(X1)
26
28
35
31
26
49
35
30
22
31
26
47
54
50
57
35
22
47
57
31
43
28
24
43
35
26
57
50
54
Outlet
(X3)
159
164
198
184
150
208
136
166
149
184
159
203
240
231
287
136
149
203
287
184
180
182
123
180
136
159
287
231
240
Pesaing
(X4)
15
16
20
17
14
24
16
17
14
17
15
20
26
15
22
16
14
20
22
17
12
15
12
12
12
15
22
15
26
Income
(X5)
5.46
5.48
6.05
5.80
5.50
6.48
5.60
5.47
5.00
5.80
5.46
6.20
6.52
6.00
6.80
5.60
5.00
6.20
6.80
5.80
5.23
5.40
5.32
5.23
5.60
5.46
6.80
6.00
6.52
Model Summary
Adjusted R
Model
1
R
.941
R Square
a
.885
Std. Error of the
Square
Estimate
.866
14.442
a. Predictors: (Constant), INCOME, PROMOSI, PESAING, OUTLET

2. b
ANOVA
Model
1
Sum of Squares
Regression
df
Mean Square
38502.004
4
9625.501
5005.789
24
43507.793
Sig.
46.149
.000
a
208.575
28
Residual
Total
F
a. Predictors: (Constant), INCOME, PROMOSI, PESAING, OUTLET
b. Dependent Variable: SALES
Coefficients
a
Standardized
Unstandardized Coefficients
Model
1
B
Std. Error
(Constant)
27.963
2.248
.524
OUTLET
-.054
PESAING
Beta
t
62.004
PROMOSI
Coefficients
INCOME
a. Dependent Variable: SALES
Sig.
.451
.656
.677
4.294
.000
.140
-.063
-.386
.703
.024
1.417
.003
.017
.986
25.865
16.675
.352
1.551
.134