Multiple Linear Regression - Estimated Regression Equation
Relative_Advantage[t] = + 0.287981 + 0.196931Perceived_Ease_of_Use[t] + 0.208669Information_Quality[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0		2-tail p-value1-tail p-value
(Intercept)+0.288 0.8971+3.2100e-01 0.7486 0.3743
Perceived_Ease_of_Use+0.1969 0.06639+2.9660e+00 0.003432 0.001716
Information_Quality+0.2087 0.06931+3.0110e+00 0.002991 0.001496


Multiple Linear Regression - Regression Statistics
Multiple R 0.504
R-squared 0.2541
Adjusted R-squared 0.2456
F-TEST (value) 29.97
F-TEST (DF numerator)2
F-TEST (DF denominator)176
p-value 6.28e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 1.808
Sum Squared Residuals 575.3


Menu of Residual Diagnostics
DescriptionLink
HistogramCompute
Central TendencyCompute
QQ PlotCompute
Kernel Density PlotCompute
Skewness/Kurtosis TestCompute
Skewness-Kurtosis PlotCompute
Harrell-Davis PlotCompute
Bootstrap Plot -- Central TendencyCompute
Blocked Bootstrap Plot -- Central TendencyCompute
(Partial) Autocorrelation PlotCompute
Spectral AnalysisCompute
Tukey lambda PPCC PlotCompute
Box-Cox Normality PlotCompute
Summary StatisticsCompute


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast		Residuals
Prediction Error
1 10 6.639 3.361
2 8 7.833 0.1673
3 6 6.592-0.5924
4 10 7.427 2.573
5 8 5.828 2.172
6 10 8.829 1.171
7 7 8.018-1.018
8 10 8.423 1.577
9 6 4.553 1.447
10 7 7.415-0.4153
11 9 7.195 1.805
12 6 5.99 0.01015
13 7 6.604 0.3959
14 6 4.97 1.03
15 4 6.592-2.592
16 6 7.415-1.415
17 8 8.4-0.4
18 9 5.19 3.81
19 8 6.407 1.593
20 6 5.978 0.02188
21 6 7.404-1.404
22 10 6.616 3.384
23 8 7.01 0.9903
24 8 7.415 0.5847
25 7 8.203-1.203
26 4 6.778-2.778
27 9 7.195 1.805
28 8 6.592 1.408
29 10 6.801 3.199
30 8 5.758 2.242
31 6 7.021-1.021
32 7 8.215-1.215
33 8 6.789 1.211
34 5 7.207-2.207
35 10 7.415 2.585
36 2 5.978-3.978
37 6 6.175-0.175
38 7 7.207-0.2067
39 5 6.801-1.801
40 8 8.62-0.6204
41 7 7.612-0.6123
42 7 7.195-0.1949
43 10 5.573 4.427
44 7 5.387 1.613
45 6 6.002-0.00159
46 10 6.187 3.813
47 6 6.592-0.5924
48 5 5.584-0.5843
49 8 6.002 1.998
50 8 7.195 0.8051
51 5 5.399-0.3991
52 8 7.195 0.8051
53 10 8.62 1.38
54 7 6.187 0.8132
55 7 6.581 0.4194
56 7 7.218-0.2184
57 7 6.998 0.002016
58 2 5.793-3.793
59 4 6.384-2.384
60 6 7.415-1.415
61 7 8.018-1.018
62 9 7.195 1.805
63 9 5.978 3.022
64 4 6.998-2.998
65 9 6.801 2.199
66 9 7.415 1.585
67 8 6.801 1.199
68 7 5.99 1.01
69 9 6.616 2.384
70 7 7.415-0.4153
71 6 8.227-2.227
72 7 6.604 0.3959
73 2 2.942-0.942
74 3 4.379-1.379
75 4 4.97-0.97
76 5 6.998-1.998
77 2 4.564-2.564
78 6 5.399 0.6009
79 8 7.624 0.376
80 5 7.218-2.218
81 4 6.21-2.21
82 10 8.423 1.577
83 10 9.026 0.974
84 10 9.026 0.974
85 9 7.821 1.179
86 5 6.581-1.581
87 5 5.966-0.9664
88 7 6.604 0.3959
89 10 8.423 1.577
90 9 7.218 1.782
91 8 6.407 1.593
92 8 4.564 3.436
93 8 7.577 0.423
94 8 5.978 2.022
95 8 6.407 1.593
96 7 6.801 0.1989
97 6 4.6 1.4
98 8 6.384 1.616
99 2 5.584-3.584
100 5 5.793-0.7929
101 4 7.01-3.01
102 9 6.616 2.384
103 10 8.829 1.171
104 6 7.021-1.021
105 4 6.801-2.801
106 10 8.018 1.982
107 6 6.616-0.6159
108 7 7.195-0.1949
109 7 7.207-0.2067
110 8 6.789 1.211
111 6 7.624-1.624
112 5 7.404-2.404
113 6 8.25-2.25
114 7 5.155 1.845
115 6 5.978 0.02188
116 9 6.801 2.199
117 9 7.601 1.399
118 7 7.636-0.6357
119 6 7.01-1.01
120 7 6.384 0.6163
121 7 7.207-0.2067
122 8 6.21 1.79
123 7 6.21 0.7897
124 8 7.404 0.5964
125 7 7.033-0.0332
126 4 6.616-2.616
127 10 8.62 1.38
128 8 8.632-0.6321
129 8 6.986 1.014
130 2 7.195-5.195
131 6 6.813-0.8128
132 4 5.584-1.584
133 4 5.179-1.179
134 9 6.801 2.199
135 2 6.592-4.592
136 6 7.01-1.01
137 7 6.778 0.2224
138 4 5.179-1.179
139 10 7.612 2.388
140 3 5.005-2.005
141 7 7.195-0.1949
142 4 6.581-2.581
143 8 8.018-0.01785
144 4 5.793-1.793
145 5 5.376-0.3756
146 6 5.596 0.404
147 5 6.813-1.813
148 9 7.01 1.99
149 6 6.813-0.8128
150 8 6.604 1.396
151 4 5.99-1.99
152 4 5.179-1.179
153 8 7.207 0.7933
154 4 3.765 0.2351
155 10 6.998 3.002
156 8 6.998 1.002
157 5 5.793-0.7929
158 3 7.218-4.218
159 7 6.801 0.1989
160 6 7.612-1.612
161 5 5.99-0.9899
162 5 6.998-1.998
163 9 8.191 0.8087
164 2 6.616-4.616
165 7 5.19 1.81
166 7 6.395 0.6045
167 5 7.624-2.624
168 9 9.038-0.03772
169 4 5.793-1.793
170 5 5.167-0.1669
171 9 8.018 0.9821
172 7 6.581 0.4194
173 6 6.592-0.5924
174 8 6.789 1.211
175 7 6.21 0.7897
176 6 6.407-0.4072
177 8 8.041-0.04133
178 6 7.612-1.612
179 7 7.612-0.6123


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
6 0.25 0.4999 0.75
7 0.2153 0.4307 0.7847
8 0.1711 0.3422 0.8289
9 0.2101 0.4202 0.7899
10 0.1804 0.3608 0.8196
11 0.1773 0.3546 0.8227
12 0.1387 0.2774 0.8613
13 0.09506 0.1901 0.9049
14 0.05906 0.1181 0.9409
15 0.1835 0.367 0.8165
16 0.2108 0.4217 0.7892
17 0.1587 0.3174 0.8413
18 0.2333 0.4666 0.7667
19 0.1827 0.3655 0.8173
20 0.1366 0.2732 0.8634
21 0.1278 0.2556 0.8722
22 0.1549 0.3098 0.8451
23 0.1174 0.2348 0.8826
24 0.08626 0.1725 0.9137
25 0.06375 0.1275 0.9362
26 0.07986 0.1597 0.9201
27 0.1006 0.2012 0.8994
28 0.08696 0.1739 0.913
29 0.139 0.2779 0.861
30 0.1872 0.3745 0.8128
31 0.2233 0.4466 0.7767
32 0.1949 0.3899 0.8051
33 0.1698 0.3396 0.8302
34 0.2253 0.4506 0.7747
35 0.2529 0.5057 0.7471
36 0.5379 0.9242 0.4621
37 0.4839 0.9678 0.5161
38 0.4346 0.8692 0.5654
39 0.4649 0.9297 0.5351
40 0.4143 0.8285 0.5857
41 0.3716 0.7433 0.6284
42 0.3236 0.6472 0.6764
43 0.5345 0.9311 0.4655
44 0.4987 0.9975 0.5013
45 0.4759 0.9518 0.5241
46 0.6091 0.7818 0.3909
47 0.5749 0.8501 0.4251
48 0.5641 0.8718 0.4359
49 0.5452 0.9096 0.4548
50 0.5089 0.9822 0.4911
51 0.5204 0.9592 0.4796
52 0.4833 0.9665 0.5167
53 0.4782 0.9564 0.5218
54 0.4358 0.8715 0.5642
55 0.3915 0.7829 0.6085
56 0.3572 0.7144 0.6428
57 0.3151 0.6302 0.6849
58 0.5599 0.8802 0.4401
59 0.6048 0.7904 0.3952
60 0.5982 0.8036 0.4018
61 0.5678 0.8643 0.4322
62 0.5707 0.8586 0.4293
63 0.6368 0.7264 0.3632
64 0.7175 0.5649 0.2825
65 0.7286 0.5428 0.2714
66 0.7162 0.5675 0.2838
67 0.6913 0.6175 0.3087
68 0.6606 0.6788 0.3394
69 0.6777 0.6447 0.3223
70 0.6427 0.7146 0.3573
71 0.6659 0.6683 0.3341
72 0.6286 0.7428 0.3714
73 0.6368 0.7263 0.3632
74 0.6509 0.6981 0.3491
75 0.6283 0.7435 0.3717
76 0.6408 0.7185 0.3592
77 0.6903 0.6193 0.3097
78 0.6603 0.6793 0.3397
79 0.6229 0.7542 0.3771
80 0.6547 0.6906 0.3453
81 0.6867 0.6265 0.3133
82 0.6768 0.6464 0.3232
83 0.6487 0.7027 0.3513
84 0.6196 0.7607 0.3804
85 0.5959 0.8083 0.4041
86 0.5855 0.829 0.4145
87 0.556 0.8881 0.444
88 0.5162 0.9676 0.4838
89 0.507 0.986 0.493
90 0.5088 0.9824 0.4912
91 0.5024 0.9952 0.4976
92 0.6169 0.7663 0.3831
93 0.5818 0.8365 0.4182
94 0.5946 0.8108 0.4054
95 0.5927 0.8145 0.4073
96 0.5525 0.895 0.4475
97 0.5641 0.8718 0.4359
98 0.5586 0.8828 0.4414
99 0.6809 0.6382 0.3191
100 0.6502 0.6997 0.3498
101 0.7194 0.5612 0.2806
102 0.7677 0.4646 0.2323
103 0.7493 0.5013 0.2506
104 0.7268 0.5465 0.2732
105 0.7749 0.4502 0.2251
106 0.7882 0.4235 0.2118
107 0.7616 0.4769 0.2384
108 0.7263 0.5474 0.2737
109 0.6892 0.6216 0.3108
110 0.6685 0.6629 0.3315
111 0.656 0.6881 0.344
112 0.687 0.6259 0.313
113 0.6963 0.6074 0.3037
114 0.6992 0.6017 0.3008
115 0.6592 0.6816 0.3408
116 0.6927 0.6146 0.3073
117 0.6792 0.6416 0.3208
118 0.6419 0.7163 0.3581
119 0.6079 0.7842 0.3921
120 0.572 0.8561 0.428
121 0.527 0.946 0.473
122 0.5584 0.8833 0.4416
123 0.5435 0.913 0.4565
124 0.5055 0.989 0.4945
125 0.4741 0.9483 0.5259
126 0.4948 0.9895 0.5052
127 0.4806 0.9612 0.5194
128 0.4355 0.8709 0.5645
129 0.4065 0.813 0.5935
130 0.7421 0.5158 0.2579
131 0.7043 0.5915 0.2957
132 0.6828 0.6345 0.3172
133 0.6481 0.7039 0.3519
134 0.6952 0.6097 0.3048
135 0.8889 0.2223 0.1111
136 0.8661 0.2678 0.1339
137 0.8361 0.3278 0.1639
138 0.8106 0.3787 0.1894
139 0.8572 0.2856 0.1428
140 0.839 0.3221 0.161
141 0.8034 0.3932 0.1966
142 0.866 0.268 0.134
143 0.8342 0.3317 0.1658
144 0.8222 0.3556 0.1778
145 0.7857 0.4287 0.2143
146 0.758 0.4839 0.242
147 0.7318 0.5365 0.2682
148 0.7823 0.4353 0.2177
149 0.7371 0.5257 0.2629
150 0.752 0.496 0.248
151 0.7529 0.4942 0.2471
152 0.722 0.5561 0.278
153 0.6906 0.6188 0.3094
154 0.6332 0.7337 0.3668
155 0.7661 0.4678 0.2339
156 0.7411 0.5178 0.2589
157 0.6824 0.6353 0.3176
158 0.8346 0.3308 0.1654
159 0.7906 0.4187 0.2094
160 0.7586 0.4828 0.2414
161 0.7038 0.5924 0.2962
162 0.7175 0.565 0.2825
163 0.6432 0.7135 0.3568
164 0.9342 0.1315 0.06576
165 0.9545 0.09097 0.04548
166 0.9362 0.1276 0.0638
167 0.9744 0.05125 0.02563
168 0.9507 0.09863 0.04932
169 0.9617 0.07668 0.03834
170 0.9281 0.1438 0.07191
171 0.9338 0.1324 0.06619
172 0.8666 0.2668 0.1334
173 0.7718 0.4564 0.2282


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level0 0OK
5% type I error level00OK
10% type I error level40.0238095OK


Ramsey RESET F-Test for powers (2 and 3) of fitted values
> reset_test_fitted
	RESET test
data:  mylm
RESET = 1.1148, df1 = 2, df2 = 174, p-value = 0.3303
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = 0.66357, df1 = 4, df2 = 172, p-value = 0.6181
Ramsey RESET F-Test for powers (2 and 3) of principal components
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 1.186, df1 = 2, df2 = 174, p-value = 0.3079


Variance Inflation Factors (Multicollinearity)
> vif
Perceived_Ease_of_Use   Information_Quality 
             1.971705              1.971705