# Recent content by shane414

1. ### MC on Regression Analysis

I wanted to check over my answers based on these practice questions. Thanks (1) True/False: Clustering is an unsupervised learning problem. (2) True/False: Principal Components Analysis can be used to create a low dimensional projection of the data for use with clustering. 3)...
2. ### linear regression practice

I wanted to check over my answers based on these questions Thanks (1) True/False: Clustering is an unsupervised learning problem. (2) True/False: Principal Components Analysis can be used to create a low dimensional projection of the data for use with clustering. 3) True/False...
3. ### stat questions on multicollinearity

I'm working through some practice on regression analysis and wanted to confirm. My attempt is below. Thanks (1) The correlation between two orthogonal predictor variables is: a. 1.0 b. 0.0 c. 0.5 d. Correlation does not exist. (2) Consider a regression model with predictor...
4. ### Regression Analysis Practice

I'm working through some practice on regression analysis and wanted to confirm. My attempt is below. Thanks (1) The correlation between two orthogonal predictor variables is: a. 1.0 b. 0.0 c. 0.5 d. Correlation does not exist. (2) Consider a regression model with...
5. ### AIC computation

(1) Compute the Akaike Information Criterion (AIC) value for the linear regression model Y = b0 + b1*X1 + b2*X2 + b3*X3. The regression model was fitted on a sample of 250 observations and yielded a likelihood value of 0.18. (a) 9.49 (b) 11.43 (c) 25.52 (d) 15.55 (2)...
6. ### GOF Analysis/Discussion

What actions constitute an analysis of goodness-of-fit for a regression model? What are the typical graphical displays used in this analysis of goodness-of-fit? Why do we assess the goodness-of-fit of a regression model? What can go wrong in the interpretation of the results and the...