Line of best fit?
Could someone please help me with this? I'm not sure what to do.
@campbell_st @fiji_tsunami @Kainui @KyanTheDoodle @LeilaJudeh @LelandP @Michele_Laino @Preetha
well the observed value would appear to come from the table... so look at the x, y table for 8.1 and 10 and record the values in the 1st box... next substitute 8.1 into the equation you have been given to get the predicted amount.. does that make sense?
if you have the equation of the best fit, just use that function to solve for the predicted amount \(f(x) = 0.5x + 22.45\) put the x-value into the x
the residual is the difference between the observed value and predicted value
Do you mind if I try it step-by-step and you tell me if I'm doing it correctly?
OKAY
let us pick one of the data
33.50 = 0.5(8.1)+22.45
for \(x=8.1 \) \(y = f(x) = 0.5x + 22.45 \rightarrow f(8.1) = 0.5\times (8.1) + 22.45 \)
I multiplied 0.5 with 8.1 and added it to 22.45. I have 26.5
so that is the predicted value at x=8.1 x-value indicates the time in hours
so 26.5 hours?
did you multiply and add properly?
8.1x0.5=4.05 and adding 4.05 to 22.45 gives us 26.5
So our first answer is 26.5 hours?
okay then
what else would it be if not that value?
I do not understand the difference between predicted and observed.
I'm guessing predicting means what I think before solving the problem?
predicted value is the value you solved using the LINEAR FIT equation OBSERVED would be what the actual graph or table tells you
Ohhh. So observed would be what the table says? So predicted would be 33.50, is that right?
no PREDICTED is the 26.5 OBSERVED is what is in the table
I mixed it up, sorry. 33.50 is observed. Predicted is 26.5
What exactly is residual?
the difference between the OBSERVED and PREDICTED values
when we say DIFFERENCE, what mathematical operation do we use?
33.50-26.5
correct
7 :)
how it actually works is that if the OBSERVED value is higher than the PREDICTED value, we say that the predicted value is 7 below the observed value or -7 from the observed value
So for the answer in the residual value box, would I insert -7 or 7?
positive
Thank you very much.
there's no negative dollar unless it is a debit or debt in statistics, a residual analysis, like I said before, if the predicted value is lower than the observed, then it is negative and if it is higher than the observed then it is positive residual is indicated by letter "e" so -e tells you that you predicted value is lower than the observed +e tells you that the predicated value is higher than the observed
http://stattrek.com/videos/ap/lessons/regression/residual-analysis/video.html
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