Martha is starting to save for a new laptop. She has been keeping track of her savings every day. The graph shows the number of
days since she started keeping track and the amount of money in her savings.
She would like to figure out when she might have the $350 she needs to buy the laptop. She wonders if she could use her new math skills on linear regression to help figure it out.
What do you think? Would a linear model be appropriate for this data?
She would like to figure out when she might have the $350 she needs to buy the laptop. She wonders if she could use her new math skills on linear regression to help figure it out.
What do you think? Would a linear model be appropriate for this data?
1 answer:
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When graphs are plotted, graphs as in the .jpeg image in attachment are obtained.
First graph is line going through ordered pair (point) (0,6) and pair (6,8).
The second graph is line going through ordered pair (6,8) and pair (8,0).
Intercept of these graphs is point (ordered pair) (6,8).
You see from the .jpeg image that the following is true:
Initial velocity of the runner is 6 meters per second (runner starts with this velocity), for a while he runs, velocity grows, then in the 6th second (time=6), runner starts to slow down and velocity starts to decrease, and runner stops totally at time = 8.
So runner stops after 8 seconds.
The 4th claim (sentence) is correct.
First graph is line going through ordered pair (point) (0,6) and pair (6,8).
The second graph is line going through ordered pair (6,8) and pair (8,0).
Intercept of these graphs is point (ordered pair) (6,8).
You see from the .jpeg image that the following is true:
Initial velocity of the runner is 6 meters per second (runner starts with this velocity), for a while he runs, velocity grows, then in the 6th second (time=6), runner starts to slow down and velocity starts to decrease, and runner stops totally at time = 8.
So runner stops after 8 seconds.
The 4th claim (sentence) is correct.
