The Lyft rates from the Downtown UCF/Valencia Campus (500 W Livingston St) to Cocoa Beach on Tuesday afternoon at 3:00 pm are seen in the screenshot below. It's a roughly 61-mile journey. How does the predicted cost using your linear regression equation from section 2b compare to the usual Lyft prices? Does the trip's real cost match or exceed the estimate? Why are the costs not precisely the same, in your opinion?
Here is the data
Current location → Cocoa Beach
(Nearby drivers are busy)
RECOMMENDED
Lyft for 4 people -with the standard options you Get there by 4:23 PM
Option 1 (Selected one)Standard price price $130.99(limited availability)
Standard price other options:
-wait & save (limited availability) Price $99.99
-pick up in 45-60 min (save when you wait longer) price is $70.82.
Preferred price
For 4 people the price is $150.96 and it arrives at 4:20 pm
The last option is Lyft Xl for 6 people and its price is $143.13 it arrives at 4:17 pm
Here is the linear regression
y=4.2663x+2.3664
r^2=0.7965
r- n8025
and here is the scatter plot that The data above was transferred to it
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The Lyft rates from the Downtown UCF/Valencia Campus (500 W Livingston St) to Cocoa Beach on Tuesday afternoon at 3:00 pm are seen in the screenshot below. It's a roughly 61-mile journey. How does the predicted cost using your linear regression equation from section 2b compare to the usual Lyft prices? Does the trip's real cost match or exceed the estimate? Why are the costs not precisely the same, in your opinion?
Here is the data
Current location → Cocoa Beach
(Nearby drivers are busy)
RECOMMENDED
Lyft for 4 people -with the standard options you Get there by 4:23 PM
Option 1 (Selected one)Standard price price $130.99(limited availability)
Standard price other options:
-wait & save (limited availability) Price $99.99
-pick up in 45-60 min (save when you wait longer) price is $70.82.
Preferred price
For 4 people the price is $150.96 and it arrives at 4:20 pm
The last option is Lyft Xl for 6 people and its price is $143.13 it arrives at 4:17 pm
Here is the linear regression
y=4.2663x+2.3664
r^2=0.7965
r- n8025
and here is the scatter plot that The data above was transferred to it
and show all steps of this process.