How to Interpret R Output for Regression Analysis?

[Ted123]

[PLAIN]http://img705.imageshack.us/img705/1016/20481574.jpg

Is there any way of reading the intercept and the slope of the least squares regression line from the R output here?

Also assuming the simple linear regression model Y=\beta_0+\beta_1 X + \varepsilon where \varepsilon \stackrel {\text{i.i.d.}}{\sim} N(0,\sigma^2) and X are the ages of the buses and Y the maintenance costs, how can I determine whether X and Y are significantly statistically related?

The correlation coefficient is r=0.93 which implies there is strong positive linear correlation between X and Y but does this mean they are significantly statistically related or can I use something else to determine this?

 

[Mark44]

For your first question, yes, you can read the slope and intercept from the data shown here. Your regression line equation is Y = 220.0 + 131.67X.