Based on the scatterplot and residual plot, what type of model is appropriate for comparing time and subscribers? A linear model is appropriate because the residual plot shows a random scatter of points. A logarithmic model is appropriate because the log of the number of subscribers was taken. A power model is appropriate because the relationship between period and the log of subscribers is roughly linear. An exponential model is appropriate because the relationship between period and the log of subscribers is roughly linear and the residual plot shows no distinct pattern.

35-60 students are taking math.

answer would be 8.64 or s = 11π/4 inches

step-by-step explanation:

s = r θ  

where s = arc length  

r = radius = 3 inches  

θ = central angle in radians = ( π /180)*165  

s = 3(π/180)*165  

= 8.64 inches

a

step-by-step explanation:

the denominator cannot be the same as one of the factors.

8 denominator times 2 denominator = 16

and 7 numerator time 11 = 77

77/16= 77/16 ( they cannot be further simplified)

i think you would have to divide the money he had saved, which is $2,000 by the time he plans on exercising which is 40 hours, and the answer you get should tell you the answer to your question.