Answer:
:O
Step-by-step explanation:
Answer:
D. Linear model
Step-by-step explanation:
According to the question the various R square values are mentioned below:
Linear 0.997
Quadratic 0.776
Power regression 0.788
Exponential 0.834
The r- square is a measure of statistics that represents the data to be fitted on the line of regression. The other name is the coefficient of determination also if is 100% so it represents the perfect model
As if we compared all R square values so the highest R sqaure is near to one i.e. linear
Therefore this represents the linear model
1,500(1.02) means 1500×1.02
The formula for average velocity between two times t1 and t2 of the position function f(x) is (f(t2)-f(t1)) / (t2-t1)
Plugging the values in for the first time period we get (f(2.5)-f(2)) / (2.5-2)
=> (f(2.5)-f(2)) / 0.5
f(2) will be the same for all 4 time periods and is
48(2)-16(2)^2 = 32
Now we plugin the other values
f(2.5) = 48(2.5)-16(2.5)^2 = 20
f(2.1) = 48(2.1)-16(2.1)^2 = 30.25
etc.
f(2.05) = 31.16
f(2.01) = 31.8384
Now plug these values into the formula
(20-32)/0.5 = -24
(30.25-32)/0.1 = -17.5
etc.
= -16.8
= -16.16
Final answer:
2.5s => -24 ft/s
2.1s => -17.5 ft/s
2.05 => -16.8 ft/s
2.01 => -16.16 ft/s
Hope I helped :)
Answer: 7
Step-by-step explanation:
It's a 1 : 3 ratio so the answer should be 7
