For Model 1, the R² Equals

question 9

Multiple Choice

For Model 1, the R² equals .23 and for Model 2 the R² = .35. This means that ______.

• A) Model 2 explains an extra 12% of the variation in the dependent variable
• B) Model 1 explains an extra 12% of the variation in the dependent variable
• C) Model 1 was spurious and thus not explaining enough of the variation in the dependent variable
• D) Model 1 was multicollinear and thus not explaining enough of the variation in the dependent variable

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Definitions:

T-Distribution

A type of probability distribution that arises when estimating the mean of a normally distributed population in situations where the sample size is small and population standard deviation is unknown.

Confidence Intervals

Statistical intervals that estimate where a population parameter, based on sample data, is expected to lie, including a range of possible values.

Standard Error

A measure of the precision or variability of a sample statistic estimate of a population parameter.

Level Of Significance

Level of significance is a threshold in hypothesis testing that determines whether the null hypothesis can be rejected, typically expressed as a probability value (e.g., 0.05).