In: Math
Distance |
3.4 |
1.8 |
4.6 |
2.3 |
3.1 |
5.5 |
0.7 |
3.0 |
Damage |
26.2 |
17.8 |
31.3 |
23.1 |
27.5 |
36.0 |
14.1 |
22.3 |
Distance |
2.6 |
4.3 |
2.1 |
1.1 |
6.1 |
4.8 |
3.8 |
|
Damage |
19.6 |
31.3 |
24.0 |
17.3 |
43.2 |
36.4 |
26.1 |
Generate the Simple linear regression results and Parameter estimates table in StatCrunch for the least-squares regression equation and include them with your submission.
Analysis:
Regression equation: Damage = 10.277929 +
4.9193307*distance
With R^2=0.96, there is 96% variation in damage which is explained
by distance. this is good % and hence the fitted model is said to
be a good fit for the data.
Ho: model is not significant. V/s H1: model is significant. With
F=156.88616, p<1%, null hypothesis is rejected at 1% level of
significance, and conclude that model is significant.
output:
procedure: