Chapter 9, Problem 20QA

In comparing two regression models that were developed using the same data, we might say that the model with the higher R2 value will provide the most accurate predictions. Is this true? Why or why not? If not, what would be the better parameter to use to compare two regression models? Provide at least one example to illustrate your arguments.

Which of the following statements about Least Squares Regression is not true ?   Least -squares regression is a mathematical technique to fit a cost -estimating equation to observed data . In least -squares regression , a statistical measure (R -squared ) can be used to determine how well the equation fits the data . Least -squares regression is considered superior to the high -low method because it uses more data points than just the high and low points None of the listed choices are the correct answer because all of the listed choices are true . Least -squares regression maximizes the vertical squared difference between the estimated and actual costs at each data point .

Forecasting that uses subjective analysis of subjective inputs is called   O Judgmental forecast   C Associative Models   O Time Series   O Hypothesis Testing   O Descriptive Statistics