Answer:
0.940
Step-by-step explanation:
Given the data:
Age in years(X) _____Height(Y)
7 _________ 47.3
8 _________48.8
5 __________41.3
8 _________ 50.4
8 ___________51
7 __________47.1
7 __________46.9
7 ___________48
9 __________51.2
8 __________51.2
5 __________40.3
8 __________48.9
6 __________45.2
5 __________41.9
8 __________49.6
The proportion of Variation explained by the line of best fit in a regression model can be determined by calculating the Coefficient of determination (R²) of the model.
Using the online R² calculator, the variation in the sample values of height which is estimated by the model is 0.9696² = 0.94012416.
Hence about 0.94 or 94% variation in sample values of height is estimated by the model while (1 - 0.94 = 0.06 or 6%) is explained by other factors.
Question: Which of the following is NOT true when testing a claim about a proportion?
Answer: A conclusion based on a confidence interval estimate will be the same as a conclusion based on a hypothesis test.
I don't really know the answer choices, but I think that's right. Sorry if not.
Hope this helps. c;
25% of 12=3
30% of 20=6
85% of 100=85
90 of 200=180
25 of 28=7
45 of 80=36
What is this type of math called please and what year/grade if you don’t mind me asking so I can be prepared
