Final answer:
To predict the outcome of the experiment, assess increases and decreases in sensor readings to plot trends on the graph, with lines sloping upwards for increases and downwards for decreases.
Step-by-step explanation:
The outcome of your experiment can be predicted by understanding the relationship between independent and dependent variables, and how they are represented on a graph. When plotting the data for the sensors, each will show a trend on the graph based on whether their readings increase or decrease over the two-minute period. For instances where a sensor's reading is increasing, the corresponding line on the graph will trend upward from left to right. If a sensor's reading is decreasing, the line will trend downward from left to right.
For example, if we are tracking temperature over time, and if Sensor 1 readings increase, the graph line for Sensor 1 will slope upwards. Conversely, if Sensor 2 and Sensor 3 readings decrease, their graph lines will slope downwards. Positive correlations, where two variables increase together, will result in a graph where the line trends upward, whereas a negative correlation, with one variable decreasing while the other is increasing, will show a downward trend.
To accurately predict the outcome of the experiment, you need to understand the specific behaviors of the sensors involved and match the increase or decrease trends as per the scenarios provided (A-D).