Answer: There is a weak, positive correlation between the weight Lucy lost and the number of weeks.
Explanation:
The correlation coefficient is used to measure the relationship between two variables in terms of how they move in relation to one another.
If two variables are said to have a positive correlation, it means that they increase at the same time and decrease at the same time for example, there is a positive correlation between the amount of food a family buys and how much money they have because the more money they have, the more food they buy.
Negative correlations are the reverse for instance Ice cream sales and cold temperatures. The colder it is, the less people buy ice cream.
The Correlation coefficient ranges from -1 to +1 with +1 (-1) meaning that the variables are perfectly positively(negatively) correlated. The closer the value is to 0, the weaker the correlation.
Generally, for a correlation coefficient between the numbers 0 and +0.3, there is a weak positive correlation.
With a correlation coefficient of 0.0502, there is therefore a weak, positive correlation between the weight Lucy lost and the number of weeks.
Answer
Using a good circuit board PCB design and shielding techniques
Explanation
EMI is a disruptive electromagnetic energy that is released by one portion of the circuit and reaches other parts of the circuit via conducted or radiated parts.The energy can affect circuit performance or even damage brain cells when high.It is possible to reduce this effect by employing the method of shielding and ground planes to prevent interference with wireless system operations.
Hi Thaddeush13,
Biases - " lacking a neutral viewpoint, or not having an open mind".
The potential biases that could hapen in this experiment are different intakes or types of coffee. For Example, Cold, Hot, Caramel. And each as a different size. Sugar intake is also another problem here.
