The number of views on an interesting video after it's uploaded is represented by the following table:
Time (months) Views
0 50
2 313
4 1950
6 12,210
8 76,300
10 476,800
Which model for V(t) ,the number of views, t ,months after it's uploaded, best fits the data?
Choose 1
V(t)=50+263⋅t
V(t)=50+400,500⋅t
V(t)=50⋅(6.25)^t
V(t)=50⋅(2.5)^t

The model for V(t) ,the number of views, t ,months after it's uploaded, best fits the data is

Step-by-step explanation:

Time (months)         Views

0                                  50

2                                  313

4                                  1950

6                                  12,210

8                                  76,300

10                                 476,800

Slope =131.5

Slope =818.5

Since the slope is not same . So, it is not a linear relationship

Since the ratio between the consecutive outputs is same so, it is exponential relationship.

Formula :

Where a is the initial value = 50

b = rate of change = 6.25

The model for V(t) ,the number of views, t ,months after it's uploaded, best fits the data

So

this is false ^.^ lol

answer: 5

step-by-step explanation: