The least squared sum is 384 and the data set has 26 data points. What is the Se

Question

The least squared sum is 384 and the data set has 26 data points. What is the Se? For a different problem you have R^2 =1 What is the least squared sum? What is the Sum of the residuals for the best least square fitted line? The Sum of the squares of the residuals for the best least squared line is a maximum. A residual is the y value between a data point and the average value of the Y data. You have a perfect fitted equation (fitted line passes through all data pts), and the slope of this equation is negative. What is the value of r? (need a value in addition to the sign) The mean, mean point always lies on the least squared prediction line? An r=0 means implies that there is a no association between the response and the predictor variables. For x, y type data, if you take the squareroot (of the least square sum/(n-2)) what is t us quantity called? I will accept several answers If R^2 =.4 What is r?

Explanation / Answer

1a) Se = 3.84

b) least squared sum is zero

c) False

d) True

e) r = -1

f) True

g) True

h) Population variance estimate

i) r = -0.632 or +0.632

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