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This section discusses the sums of squares, including partitioning sum of squares into sums of squares predicted and sum of squares error.

Questions

Question 1 out of 6.
If these data are converted to deviation scores, the last value (15) would have a value of

Y
  2
  9
 11
 13
 15


Question 2 out of 6.
Compute the sum of squares Y.

Y
  2
  9
 11
 13

Question 3 out of 6.
If SSY is 25.5 and SSY' is 18.3, what is SSE?

Question 4 out of 6.
The larger ________ is, the larger the proportion of variation explained is.

SSY

SSY'

SSE

Y


Question 5 out of 6.
The proportion of variation explained is 0.3. If SSY is 20, what is SSY'?


Question 6 out of 6.
If r is .84, what proportion of variation is explained?