Hay Fever Relief Data: A research laboratory was developing a new compound for the relief of severe cases of hay fever. In an experiment with 36 volunteers. the amounts of the two active ingredients (factors A and B ) in the compound were varied at three levels each. Randomization was used in assigning four volunteers to each of the nine treatments. The data on hours of relief follow. Factor B (ingredient 2) j= 2 Medium j = 3 High Factor A j=1 Low (ingredient 1) i =1 Low 2.4 4.6 4.8 ... ... 2.5 4.7 4.6 i = 2 Medium 5.8 8.9 9.1 ... ... 5.3 9.0 9.4 i = 3 High 6.1 9.9 13.5 ... ... 6.2 10.1 13.2 Use the corresponding SAS output to answer each of the following questions. 1. Does the normality assumption appear to be reasonable here? Q-Q Plot for residuals 0.4 0.2 00 0.0 -0.2 -0.4 -0.6 -3 -2 -1 2 Normal Quantiles residuals

Please help it’s not graded

Help me please

Fully explain the issues and problems with the below correlational data. Focus on the data in the highlighted box versus the rest of the data. Do not try to explain the data, but rather focus on the statistical issues and problems. IF YOU CAN'T SEE THE IMAGE HERE. PLEASE GO TO THIS LINK Linke 10 6. 8. 7. 5. 4. 10 20 30 40 50 60 70 80 90 100 Age Enjoyment of Hip-Hop

Correlation Testing: What is the range of values for this test statistic? Everyday Application of correlation testing? Why is correlation testing significant in the real world? How does it relate to engineering?

I will give a great review/rating! Thank you (:

please answer the question and show work!! thank you also please make sure if writing on paper handwriting can be read thank you again :)

Please help, this is for financial mathematics, thank you so much!!!