Question

what does the clm option on the model statement of an mlr analysis in proc glm do? question 2select one: a. produce confidence intervals for the mean response at all predictor combinations in the dataset. b. produce prediction intervals for the slope parameters. c. produce prediction intervals for a future response at all predictor combinations in the dataset. d. produce confidence intervals for the slope parameters.

Answer 1

The clm option in proc glm for mlr analysis produces confidence intervals for the mean response at all predictor variable combinations in the dataset, indicating the range where the true mean response is likely to be found at a certain confidence level.

Step-by-step explanation:

The clm option on the model statement of an mlr analysis in proc glm stands for confidence limits of the mean. It produces confidence intervals for the mean response at all predictor combinations in the dataset. The confidence intervals provide a range of values within which the true population mean is likely to fall with a specified level of confidence.