MEDAL!!! Find the linear regression equation for the following data points: Year (19xx): 55, 60, 65, 70, 75, 80, 85, 90, 95 Fare ($): 0.10, 0.15, 0.20, 0.30, 0.40, 0.60, 0.80, 1.15, 1.5
@satellite73 @agent0smith @Nnesha
@Kainui
I have found the linear regression equation from (1) graphing calculator and (2) online calculator that is able to calculate linear regression equation. I got: \( y = 0.034x - 1.947\)
Although I doubt that this is correct because when I tried to find out the fare for the year 1998, I got a negative number.
I am not sure what an `ANOVA regression` is. But I do know that this has something to do with scatter plots, if that somewhat answers your question.
It's not that complex. I am only doing Algebra 1.
Read this and use the formula. I don't think there is another way to solve this equation by hand unless you use this formula. I used this formula one time on a similar problem in a stats class.
Can i ask why did you got a negative y intercept?
http://www.statisticshowto.com/how-to-find-a-linear-regression-equation/
@Will.H I used whatever the graphing calculator told me.
Let me retry it just in case.
Sorry give me a moment please.
Also i believe the fare cannot be a slope because since it is a linear equation the slope got to be constant instead the fare is not. so i assume the years should define the slope. and you can find the fare change using ratios. it will be 3/2
I just reread the problem and it said for me to find the exponential regression. Sorry not linear. But how do I find the exponential regression on a graphing calculator?
if this is Algebra 1 then you will have to use the following formual f(x)= p(1+r)^x where p is the y intercept and r is the growth or decay and x is the time in years
Okay so I just looked it up and found that the exponential regression should be: \(y = 0.002(1.070)^x\)
How did you get R? and the y intercept
Well this is the exponential regression which would mean the formula: \(y=a(b)^x\). So there shouldn't be any y-intercept in here but the residual value would be approximately 1.0
im looking at your equation using Desmos.com you can see if its right from there.
it doesn't seem to be even an exponential function!
it is basically covering all the x-intercepts
But they asked for an exponential regression so I did it. And a regression wouldn't be that accurate as it should just be something of a best fit.
you know better. i just wanted to help as much as i could. :)
Thanks for the help :)
yw, have a good weekend.
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