I'm working on a math project about a track and field olympic event. The question is, is the relationship between the years and time values linear or exponential?
So I selected an event and I can see that as the years have passed, the time has decreased, so I consider that linear.
Then I have to find a line of best fit for my data and state what the meaning of the slope from that equation is. I believe the slope represents the change in time in the event each time there is an olympics held. (Is that correct?)
Here is the question that I am really struggling on: does my graph have a y-interecept. Well I know it's not going to have a x-interecept, where the line crosses the x axix because that would mean that they are doing the event in no time which, of course, is impossible.
But what about a y-intercept?
My confusion, I believe, is because the equation of a line is y = mx + b, with b being the y interecept. I have a "b" in my equation, but would there really be a y intercept in this type of scenario?
Thank you.
4 answers
the time in the event is dependent on the year of the games
one would expect the times to decrease as a result of improvement of the atheletes
... better conditioning, better nutrition, ... etc.
My equation of best fit, determined by the computer, is: Y=-.02496x+551.65
My event is 100M mens backstroke, and the first time they did this, in 1906, the time was 1:16.8 which would be 76 secons -- so I don't understand how the b can be the first olympics time.
I understand and agree that the times decrease as time goes on, but I'm still trying to understand this y-intercept thing.
Thank you for clarifying for me.
winning time in seconds? ... this should be y
year of games? ... or years since 1st "modern" games? ... this should be x
going back in time beyond the "modern" games is probably meaningless
The question is, is there a y-intercept - so technically, there WOULD be a y-intercept since the line would cross the y-axis??