Answer:
A the first one
Explanation:
Honestly the other answers just sound bogus
Haha I’m currently working on this right now but this is what I have so far hopefully this helps a lil :)
1. I agree with the statement “sports, just like everything else is political” because throughout these past few years it has been nothing but that. For instance, take the 2021 presidency for example. There were many polls stationed around many stadiums through out the United States as well as voting ads appearing on sports channels.
2. A “paradoxical yet symbiotic relationship” was that NFL and Major League Baseball are trying not to be political but most people think that what they are doing is just that, political.
3. He believes it’s Trump
5. My view on it is that it’s a good way for players to speak up and bring awareness to the political matters at hand.
Answer: c) Researchers think that stresses created by humans are the reason behind increasing numbers of elephant attacks.
Explanation:
The aforementioned article by National Geographic shows that the higher number of elephant attacks on humans are as a result of human activities that are placing stress on elephants.
Humans are increasing in population and as a result need more land for farming. This is resulting in a shrinking habitat for elephants who then encroach on human farms and are killed for it which leads to some elephants having Post Traumatic Stress Disorder and killing other humans which then continues the cycle.
D.- Food production grew much more quickly than Malthus predicted
Based on the computer output, the predicted price for a car with 10,000 miles is $22,347.20.
<h3>What is a least-squares regression?</h3>
A least-squares regression line can be defined as a standard technique in regression analysis and statistics that is typically used to make the vertical distance obtained from the data points running to the regression line to become very minimal or as small as possible.
In statistics, the sum of the residuals for a least-squares regression line is always zero (0) because it determines whether or not a line of regression is a good fit or match for the given data.
Based on the computer output, the predicted price for a car that has covered a distance of 10,000 miles on the odometer is $22,347.20.
Read more on least-squares regression here: brainly.com/question/26059078
