In an analysis of variance for a multiple regression model, what ...

[cagreen833]

In an analysis of variance for a multiple regression model, what does a large value of the test statistic, F, indicate?
 a. We should not reject the null hypothesis.
 
  b. There is a lot of error in the model.
 
  c. Most of the variation in y is explained by the regression equation and the model is useful.
 
  d. Most of the variation in y is unexplained by the regression equation and the model is not useful.

Question 2

Morgan has calculated the upper and lower limit for control limits in an chart, and determines the out-of-control behavior she observed might be due to the fact that she was using an extremely small sample. Therefore, she quadruples her sample size, and the sample is now much larger than even her original sample. Unfortunately, she forgets to adjust the upper and lower limits again to reflect the much larger sample size. What is likely to occur as she manually plots observations on the chart?

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Answer to Question 1

c

Answer to Question 2

The limits are wider with smaller samples, so she is less likely to observe observations that are truly out-of-control in the larger sample.

[cagreen833]

Thanks for the timely response, appreciate it

[jomama]

Wow, this really help