If the sum of squares for error (SSE) is equal to zero, then the ...

[humphriesbr@me.com]

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

[blakcmamba]

Answer to Question 1

B

Answer to Question 2

B

[humphriesbr@me.com]

Thanks for the timely response, appreciate it

[dreamfighter72]

Wow, this really help