A regression of the total number of hours of traffic delay (y) versus number of vehicles per day (x) is calculated. The computer output is below.
|
Predictor
|
Coef
|
SE Coef
|
T
|
P
|
|
Constant
|
-3629
|
7367
|
-0.49
|
0.634
|
|
Vehicles per day
|
0.07822
|
0.02684
|
2.91
|
0.017
|
|
S = 3899.57
|
R-Sq = 48.6%
|
R-Sq (adj) = 42.8%
|
What does the number 48.6% represent?
The number of hours of delay per each additional vehicle.
The percentage of the variation in number of hours of delay that is accounted for by this regression.
The percentage of hours of delay that are explained by vehicles stuck in traffic.
The percentage of vehicles stuck in traffic.