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...