Answer:
Scatter plot
Step-by-step explanation:
Let's first understand the input data.
Because we need to show the growth of the plant over a 3-month period, your data involves two variables 'time' and 'growth'.
The 'time' variable defines the day, the week, or even the month were you are going to measure your plant, whereas the 'growth' variable is the numerical value describing how tall is your plant.
Because of this, a scatter plot is the best option, because this type of graph allows plotting (x,y) points, which is actually the best way to represent the data, because for each 'time' there is a 'growth' value.
For example:
If you chose to measure your plant once a month, then you have a dataset with four points: (month 0, 0), (month 1, growth 1), (month 2, growth 2), (month 3, growth 3). Notice that 'month 0' is when you started to grow your plant, so it is not visible yet. Moreover, because you are measuring each month, you don't need to make transformations to the 'growth' value, just the absolute measure.
This graph also allows you to determine a specific time interval (days, weeks, months) or even an irregular time interval, for example the first week, then after 3 weeks, then after 1 week, etc. In the attached file we can see two scatter plots using a line for connecting points, but also showing different time scales.
