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Author Question: If the sum of squares for error (SSE) is equal to zero, then the coefficient of determination (r2) ... (Read 33 times)

humphriesbr@me.com

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on: Jul 24, 2018
If the sum of squares for error (SSE) is equal to zero, then the coefficient of determination (r2) must be:
 a. 1.5
  b. 1.0
  c. 0.0
  d. -1.0
  e. 100

Question 2

In a simple linear regression problem, if the coefficient of determination is 0.96, this means that:
 a. 96 of the y values are positive
  b. 96 of the total variation in y can be explained by the regression line
  c. 96 of the x values are equal
  d. 90 of the total variation in x can be explained by regression line
  e. 90 of the total variation in y can be explained by the regression line


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blakcmamba

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Reply #1 on: Jul 24, 2018
Answer to Question 1

B

Answer to Question 2

B


humphriesbr@me.com

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Reply 2 on: Jul 24, 2018
Wow, this really help

brbarasa

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Reply 3 on: Yesterday
YES! Correct, THANKS for helping me on my review

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