Author Question: If the dependent variable in a regression model is continuous interval data, the analysis should ... (Read 133 times)

james · **on:** Jun 29, 2018

If the dependent variable in a regression model is continuous interval data, the analysis should employ
a. multiple linear regression d. multinomial regression
b. binary regression e. ordinal regression
c. Poisson or count regression

Question 2

Explain the appropriate statistical analysis for the following hypothesis:

H1: The average income of accountants is greater than 50,000.

Perkypinki · **Reply #1 on:** Jun 29, 2018

Answer to Question 1

A
For continuous interval dependent variables, multiple linear regression would be used.

Answer to Question 2

This is a univariate hypothesis dealing with one variable: income. Univariate hypotheses are typified by tests comparing some observed sample mean against a benchmark value. The test addresses the question, is the sample mean truly different from the benchmark? The level of scale measurement is ratio scaled, and if the sample size is large, parametric statistical procedures are appropriate. In this case, a univariate t-test is appropriate for testing this hypothesis because in involves an observed mean income against the value of 50,000.