Question

Not sure how to explain 26-28.

25) For a one-way ANOVA, the statistic represents a) MS groups/MS error b) omax/min c) SS groups/SServer d) nog/o; e) a and a and d 26) From 1978 to 1999, a total of 1173 people att 1978 to 1999, a total of 1173 people attempted to scale the world's highest mountains, 2 and Everest. Most people have used supplemental com most people have used supplemental en but some have not. Of those that used oxygen, 1045 survived and 32 died. Of those without oxygen, 88 survived and 8 died. how much higher were the odds of survival for en users compared to climbers that did not use oxygen? For additional practice calculate the 95% CI for this statistic. a) 2.97 d) 0.34 b) 32.65 e) 1.06 c) 11.00 Questions 27-28 refer to the following data problem. Values of X and Y are provided. Use the additional Space in the table for any necessary calculations. 1.0 1.8 3.0 4.2 6.0 3.0 4.0 2.4 5.0 6.3 D 27) What is the slope of the relationship between X and Y a) 0.6538 b) 0.6352 c) 0.0612 d) 0.6120 e) 0.6210 28) What is the F value associated with the test of the hypothesis that B=0? a) 5.54 b) 3.42 c) 2.87 d) 1 e) 4.45

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Answer 1

Note : As per Chegg policy, if a post contains more than one distinct questions, we should solve one question or the question number suggested by the student.

Solving the question 27, 28

27)

For finding the slope, we compute the following columns    
Means of X and Y are calculated using X function AVERAGE    
Mean of X = 3.2
Mean of Y = 4.14

	X	Y	x2	y2	xy
	1	3	1.00	9.00	3.00
	1.8	4	3.24	16.00	7.20
	3	2.4	9.00	5.76	7.20
	4.2	5	17.64	25.00	21.00
	6	6.3	36.00	39.69	37.80
Total	16	20.7	66.88	95.45	76.2

n = 5 number of observations    
     
We find estimates of m, b in the linear regression line      
y = β₁ + β₀x  where β is the slope and β₁ is the intercept   
such that     
Slope β₀

β₀ = 0.6352     

ηΣxν-Σ x) (Σν) Ε5 (76.2) -(16) (20.7) ηΣ x2-(Σ x 2 0.6352 5(66.88) – (16)²

Answer :

b) 0.6352

28) To conduct the hypothesis test for the slope, we use the Excel tool

Data-> Data Analysis -> Regression

The null and alternative hypotheses are

Ho : The slope $\beta = 0$

Ha : The slope $\beta \neq 0$

We get the following ANOVA table and the F-value

	df	SS	MS	F	Significance F
Regression	1	6.3266	6.3266	5.54	0.0999
Residual	3	3.4254	1.1418
Total	4	9.752

F-value = 5.54

Answer :

a) 5.54