Marathon predictions by Cushla Thomson https://padlet.com/cushla_thomson/predictions en-us 2018-03-19 19:52:39 UTC 2023-01-24 04:07:10 UTC hello@padlet.com N & J https://padlet.com/cushla_thomson/predictions/wish/243743366 Im using my line of best fit to predict that if the stride length is minutes = blah x blah + blah
(minutes (268) = -1.8696 x 140 + 530.33) 
The gradient of the LOBF is -1.8695. This means that if the stride length goes up by 1cm the time taken goes down by about1.9 minutes.
]]> 2018-03-19 19:59:52 UTC https://padlet.com/cushla_thomson/predictions/wish/243743366 Isaac <3 https://padlet.com/cushla_thomson/predictions/wish/243743387 With the line of best fit we can make a prediction about the number of minutes taken to run the marathon based on the stride length.  The gradient is minutes= -1.8696xSL+530.33. Based on this equation i can predict the time for a person with a stride length of 140cm. Minutes = -1.8696 x 140 + 530.33 = 269.


]]> 2018-03-19 19:59:55 UTC https://padlet.com/cushla_thomson/predictions/wish/243743387 Ollie https://padlet.com/cushla_thomson/predictions/wish/243743520 My line of best fit is Minutes = -1.8696 x SL + 530.33. Based on this, I will predict the time taken to run a marathon for a runner with a stride length of 140cm. Minutes = -1.8696 x 140 + 530.33 = 269. I predict that he or she will take 269 minutes.

The gradient of the line of best fit is -1.8696. This means that, on average, a 1 cm increase in stride length is associated with a decrease in the time taken of about 1.9 minutes.

The y intercept has no relevance as it implies that if a runner had a stride length of 0cm, it would them you 530 minutes to complete the marathon.


]]> 2018-03-19 20:00:18 UTC https://padlet.com/cushla_thomson/predictions/wish/243743520 https://padlet.com/cushla_thomson/predictions/wish/243743521 2018-03-19 20:00:18 UTC https://padlet.com/cushla_thomson/predictions/wish/243743521 George https://padlet.com/cushla_thomson/predictions/wish/243743538 Using the line of best fit, we can estimate a value for what the time taken will be. The equation is -1.8696x + 530.33. This means that for every centimètre that the stride length increases, the So for 135 it would ]]> 2018-03-19 20:00:21 UTC https://padlet.com/cushla_thomson/predictions/wish/243743538 Rupesh https://padlet.com/cushla_thomson/predictions/wish/243743618 By using the line of best fit, we can estimate what the time of a marathon runner stride length is 130, the equation is -1.8695x(SL)130+530.33=287.295
The gradient of the line of best fit is -1.8695. This means that on average, a 1 cm increase in stride length is associated with a decrease in the time of 1.9 mins]]> 2018-03-19 20:00:38 UTC https://padlet.com/cushla_thomson/predictions/wish/243743618 Ay https://padlet.com/cushla_thomson/predictions/wish/243743667 Using equation HP=HL thermoregulatory homeostatic control systems need some vasodilation]]> 2018-03-19 20:00:46 UTC https://padlet.com/cushla_thomson/predictions/wish/243743667 Astin https://padlet.com/cushla_thomson/predictions/wish/243743959 With the line of best fit we can make predictions concerning the number of minutes taken to run the marathon based on the stride length of the runner. The line of best fit is: minutes = -1.8696 X stride length + 530.33. Therefore I can predict that a runner with a stride length of 155cm runs the marathon in 240.5 minutes (-1.8696 X 155 + 530.33) or roughly 4 hours. The gradient of this line of best fit can be identified as -1.896.]]> 2018-03-19 20:01:37 UTC https://padlet.com/cushla_thomson/predictions/wish/243743959 B & J https://padlet.com/cushla_thomson/predictions/wish/243744062 My line of best fit = -1.8696* SL(155) + 530.33. based on the line of best fit,  i predict that the time taken for a runner with a stride length of 155cm will run a time of 241 minutes (4 hours and 1 minute). The gradient of the line of best fit is -1.8695 this means that a 1cm increase in stride length is associated with a decrease in time taken of about 1.9 minutes. The y intercept from the graph would be 530.33 which would be stupid as it is not plausible. Who hops a marathon? ]]> 2018-03-19 20:01:50 UTC https://padlet.com/cushla_thomson/predictions/wish/243744062 Cai https://padlet.com/cushla_thomson/predictions/wish/243744125 My line of best fit is Minutes = -1.8696*StridelengthCM + 530.33. Based on the line of best fit I can predict that a runner with the stride length of 140cm will run a marathon in - Minutes = -1.8696*140+530.33. Based on this equation a runner with 140cm will complete the marathon in 268.59 minutes. The gradient of the line LOBF is -1.8696. This means that on average, a 1cm increase in SL is associated with a decrease in time taken of about 1.9minutes]]> 2018-03-19 20:01:55 UTC https://padlet.com/cushla_thomson/predictions/wish/243744125 Cam https://padlet.com/cushla_thomson/predictions/wish/243744206 My line of best fit shows that the minutes taken to complete the marathon (in minutes) = -1.8696 x SL + 530.33. Therefore, using a stride length of 140cm, the time taken to complete the marathon = -1.8696 x (140) + 530.33 = 269 minutes. The gradient (-1.8695) means that for each cm of stride length increased, then on average, time taken (minutes) to run the marathon decreases by about 1.9 minutes]]> 2018-03-19 20:02:06 UTC https://padlet.com/cushla_thomson/predictions/wish/243744206 Sam https://padlet.com/cushla_thomson/predictions/wish/243744431 My line of best fit is minutes = -1.8696xSL+530.33. Based on this, I can predict the time taken to run a marathon for a runner with a stride length of 140cm will take 269 minutes.]]> 2018-03-19 20:02:38 UTC https://padlet.com/cushla_thomson/predictions/wish/243744431 Roman https://padlet.com/cushla_thomson/predictions/wish/243744506 My line of best fit is minutes = -1.8696 x StridelengthCM + 530.33. Based on this I can predict that the runner with a stride length of 140cm will be able to run a marathon in 269 minutes (-1.8696 x 140 + 530.33)]]> 2018-03-19 20:02:57 UTC https://padlet.com/cushla_thomson/predictions/wish/243744506 Alex https://padlet.com/cushla_thomson/predictions/wish/243744518 2018-03-19 20:02:59 UTC https://padlet.com/cushla_thomson/predictions/wish/243744518 Sean https://padlet.com/cushla_thomson/predictions/wish/243744526 My line of best fit is minutes=-1.8696*stridlengthCM + 530. 33
The gradient of the line of best fit is -1.8696. This means that on average, a 1cm increase in SL is associated with a decrease in time taken of about 1.9mins]]> 2018-03-19 20:03:01 UTC https://padlet.com/cushla_thomson/predictions/wish/243744526 Gabe https://padlet.com/cushla_thomson/predictions/wish/243745074 The line of best fit is = -1.8965 x Stride Length + 530.33. We can use the line of best fit to predict an approximate time (in minutes) to run a marathon for a given individual, based on their stride length. The gradient of the line of best fit is -1.8695.]]> 2018-03-19 20:04:35 UTC https://padlet.com/cushla_thomson/predictions/wish/243745074 Vallen https://padlet.com/cushla_thomson/predictions/wish/243745463 My line of the best fit = -1.8696*StridelengthCM + 530.33.  The gradient shows the tilt extent ]]> 2018-03-19 20:05:43 UTC https://padlet.com/cushla_thomson/predictions/wish/243745463 Nick https://padlet.com/cushla_thomson/predictions/wish/243748600  From the regression line, we could estimate that the time taken to complete a marathon with a 150 cm stride length is 260 minutes.


Based on the model, -1.8696 * SL (cm) + 530.33, we can calculate a more accurate estimate of time taken to complete the marathon with a stride length of 150cm

-1.8686 * (150) + 530.33 = 250.04 
---> 250 minutes


]]> 2018-03-19 20:15:03 UTC https://padlet.com/cushla_thomson/predictions/wish/243748600 Alex https://padlet.com/cushla_thomson/predictions/wish/243749316 The ]]> 2018-03-19 20:17:18 UTC https://padlet.com/cushla_thomson/predictions/wish/243749316