-
Notifications
You must be signed in to change notification settings - Fork 0
/
Summary_stats.txt
69 lines (54 loc) · 1.61 KB
/
Summary_stats.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
Multiple Linear Regression
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -1.040e+02 1.585e+01 -6.559 5.08e-08 ***
vehicle_length 6.267e+00 6.553e-01 9.563 2.60e-12 ***
vehicle_weight 1.245e-03 6.890e-04 1.807 0.0776 .
spoiler_angle 6.877e-02 6.653e-02 1.034 0.3069
ground_clearance 3.546e+00 5.412e-01 6.551 5.21e-08 ***
AWD -3.411e+00 2.535e+00 -1.346 0.1852
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 8.774 on 44 degrees of freedom
Multiple R-squared: 0.7149, Adjusted R-squared: 0.6825
F-statistic: 22.07 on 5 and 44 DF, p-value: 5.35e-11
# ACROSS ALL LOT #'S
One Sample t-test
data: suspension$PSI
t = -1.8931, df = 149, p-value = 0.06028
alternative hypothesis: true mean is not equal to 1500
95 percent confidence interval:
1497.507 1500.053
sample estimates:
mean of x
1498.78
#LOT 1
One Sample t-test
data: lot_1$PSI
t = 0, df = 49, p-value = 1
alternative hypothesis: true mean is not equal to 1500
95 percent confidence interval:
1499.719 1500.281
sample estimates:
mean of x
1500
#LOT 2
One Sample t-test
data: lot_2$PSI
t = 0.51745, df = 49, p-value = 0.6072
alternative hypothesis: true mean is not equal to 1500
95 percent confidence interval:
1499.423 1500.977
sample estimates:
mean of x
1500.2
#LOT 3
One Sample t-test
data: lot_3$PSI
t = -2.0916, df = 49, p-value = 0.04168
alternative hypothesis: true mean is not equal to 1500
95 percent confidence interval:
1492.431 1499.849
sample estimates:
mean of x
1496.14