Need help with the following 4 questions. For #8, its either c) or d), definitely not the other 2 For #9, its multi-sele

Post by **answerhappygod** » Wed May 11, 2022 3:19 pm

Need help with the following 4 questions.

: Need Help With The Following 4 Questions For 8 Its Either C Or D Definitely Not The Other 2 For 9 Its Multi Sele 1 (66.56 KiB) Viewed 27 times

: Need Help With The Following 4 Questions For 8 Its Either C Or D Definitely Not The Other 2 For 9 Its Multi Sele 2 (28.79 KiB) Viewed 27 times

: Need Help With The Following 4 Questions For 8 Its Either C Or D Definitely Not The Other 2 For 9 Its Multi Sele 3 (21.58 KiB) Viewed 27 times

: Need Help With The Following 4 Questions For 8 Its Either C Or D Definitely Not The Other 2 For 9 Its Multi Sele 4 (23.88 KiB) Viewed 27 times

For #8, its either c) or d), definitely not the other 2
For #9, its multi-select so more than one choce is correct, its
AIC only I think but there may be one other choice, not too sure
about this one.
For #10, my guess is a) k-means but not sure it may be the
others.
For #11, either c) or d) don't think it's the other 2
Please provide an explanation with your option. Thanks.
Question 8 (4 points) The results of principal component analysis for the iris data set is as follows: Call: pc_iris$loadings Loadings: Comp.1 Comp.2 Comp.3 Sepal.Length 0.52 0.377 0.720 Sepal.Width -0.27 0.923 -0.244 Petal.Length 0.58 -0.142 Petal.Width 0.57 -0.634 Comp.4 0.261 -0.124 -0.801 0.524 Which one of the following gives the equation of the the most informative principal component? 0.72 Sepal.Lenth -0.24 Sepal.Width -0.14 Petal.Length +0.63 Petal.Width -0.38 Sepal.Lenth -0.92 Sepal.Width 0.521 Sepal.Lenth -0.27 Sepal.Width +0.58 Petal.Length +0.57 Petal.Width 0.26 Sepal.Lenth-0.12 Sepal.Width -0.8 Petal.Length +0.52 Petal.Width

✓ Saved Question 9 (4 points) Which one of the following measures can be used to add/remove variables while selecting a best subset of input variables in step-wise regression. Significance level Akaike Information Criterion Sum of squared errors Coefficient of determination

Question 10 (4 points) ✓ Saved Which one of the following algorithms does not require labelled training data? k-Means KNN Decision Tree Logistic Regression

Question 11 (4 points) The hypothesis that says your sample means were drawn from the same population is called the central limit hypothesis. post hoc hypothesis. alternative hypothesis. null hypothesis.