Answer:
regression analysis
Explanation:
Regression analysis: In statistics, the term "regression analysis" is described as one of the statistical methods that helps a researcher or investigator to examine the specific relationship that exists between two or more than two variables while researching. Regression analysis is of various types, however, they all examine the impact of one or more than one independent variables on a given dependent variable.
In the question above, the given statement signifies "regression analysis".
Answer:
We dont have the textbook to see what to do, so plase provide an image so we can try
Explanation:
Answer:
Through the process of photosynthesis
- In this process plants take up carbon dioxide which was exhaled by living organisms and make oxygen from it
- in photosynthesis plants with the use of Raw material like co2, sunlight, water make o2 and release it in the atmosphere
Assuming Wally has the legal right to keep the dog, a possible private solution to this problem is that
"the current situation is efficient."
Efficiency is the capacity to abstain from squandering materials, vitality, endeavors, cash, and time in accomplishing something or in creating a coveted outcome. In a more broad sense, it is the capacity to do things well, effectively, and without waste. In more numerical or logical terms, it is a measure of the degree to which input is all around utilized for an expected assignment or capacity. It frequently particularly involves the capacity of a particular utilization of push to deliver a particular result with a base sum or amount of waste, cost, or superfluous exertion. Efficiency alludes to altogether different data sources and yields in various fields and businesses.
Because the French nobility, king Louis XVI and the clergy had one major thing in common. All of them enjoyed and lived a lavish lifestyle full of riches, good food, and different luxuries that the average citizen in France could not even imagine perhaps. This is also the reason why they were criticized most.
