The following question is based on scenario 2: Researchers are interested in seeing how sitting for long periods of time can influence cardiovascular health. They ask people how many hours per day they sit, and then they measure their blood pressure to see if they are associated. They expect that as hours spent sitting increases, blood pressure will also increase. What is the best statistical test to use to analyze the hypothesis in scenario 2?
A. Z-score
B. z-test
C. Structural Equation Model
D. Factor Analysis
E. Correlation Coefficient
F. Dependent sample t-Test
G. Independent sample t-Test
H. One-way ANOVA

50- 250 is correct i did that one too

step-by-step explanation:

13cm

step-by-step explanation:

(apex)

the revenue of the fitness center, y, is the product of two factors: the number of members and the fee paid by each member. there are 320 members now, but number of members goes down by 10 for each $5 increase in fees, so if x is the number of $5 price increases then members is equal to (320 - 10x). since the fee is currently $45, and the fee increases by $5 for every price bump x, the fee is given by (45 + 5x). so, revenue y is given by y = (320 - 10x)(45 + 5x).

there should be an link icon on the bottom of the text box you get. it looks like a paperclip!