A linear model for a set of data was y = -20.6 + 9.72 x and produced the first residual plot [Xscl = 1, Yscl = 5] Predict the value of y when x = 7.5. Determine the residual if x = 5 I need some statistics help if anyone could assist that would be great?
what are your thoughts about this so far?
Honestly? I don't even know. That's why I need help. I don't know what I'm supposed to do.
they give you an equation to input the value of x ....
if y = -20.6 + 9.72 x, then when x = 7.5, what is the value of y?
52.3?
yes
the residual is another way of asking what the error is between the modeled line and the actual value so determine the value of y when x=5, and also find the value of the actual plot of (5,y) the difference between the actual and the modeled values is the "residual"
How do I find the actual plot?
its either in a dataset or on a graph that they give you
All I got was the graph but I don't know what it is.
i cant read it the way it is either ... if i were to geuss id say the x=5 plot is around y=-1
So what does that mean? How do I get the residual?
like i posted: the difference between the actual and the modeled values is the "residual" r = actual y - modeled y ; at x=5
the modeled y is simple enough ... they give an equation for it the actual y would have to be obtained off of the scatterplot ... the xy parts might help to define how the graph is delineated
x is a scale of 1, y is a scale of 5 each x tic measures 1 units each y tic measures 5 units
so would you agree that it looks to be about 5,-5 ?
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