In: Statistics and Probability
A highway department is studying the relationship between traffic flow and speed. The following model has been hypothesized.
y=b0+b1X+E
where
y= traffic flow of vehicles per hour
X= vehicle speed in miles per hour
The following data were collected during rush hour for six
highways leading out of the city.
| Traffic flow(y) | vehicle speed(X) |
| 1169 | 30 |
| 1134 | 40 |
| 1162 | 30 |
| 1223 | 35 |
| 1166 | 25 |
| 1285 | 40 |
a) the following Regression equation
y=___________+__________x (2 decimals)
b) use a=0.05 significance
s=________________ (4 decimals)
r2= ______________
r2 adj= ________________
| Source | DF | SS | MS | F | P-Value |
| regression | |||||
| residual | ---------- | --------- | |||
| total | -------------- | ----------- | --------- |
a)
Here, we perform linear regression as :


Regression equation is :
Y = 1066.5 + 3.7 X
b)
Now, to test the significance of linear regression, we use Excel Data Analysis Tool Pack
Output :

Consider Standard error in the above output :
S = 55.9933
Consider R square in the above output :
r2 = 0.1668
Consider Adjusted R square in the above output :
r2 adj = - 0.0416
ANOVA Table :
| Source | df | SS | MS | F | P-value |
| Regression | 1 | 2509.8333 | 2509.8333 | 0.8005 | 0.4215 |
| Residual | 4 | 12541 | 3135.2500 | ||
| Total | 5 | 15050.8333 |