It would have to be the children because the others aren’t eating them
By explaining it step by step and by how it will help him heal
Answer: Here's all the land pieces I know
Louisiana Purchase: Sold by Napoleon to the US in 1803
Flordia: The Adam-Onis Treaty seceded Florida the US
CA, NV, UT, AZ: Treaty of Guadalupe Hidalgo ended the Mexican-American war and these territories are called the Mexican cession.
Texas: (kinda complicated) Texas won its own independence and became the Lone Star state. Because of slave issues they did not admit Texas for a number of years. The Mexcian-American war did secure a lot of these lands
Oregon Territory: This land was previously co-ruled by Britsh and the US. They wanted this to end so they divided the land in half at the 49th parallel. President Polk tried to push for more land but was rejected.
Gadsden Purchase: Last purchase of land until Alaska or Hawaii. Bought from the Mexican government to build an easier railroad route (avoid tunning through the Rocky Mountains). This is a small portion of land below New Mexico.
Basically, Benedict's test identifies the existence of aldehydes and alpha-hydroxy-ketones, also by hemiacetal, as well as those that take place in specific ketoses. Therefore, it is an alpha-hydroxy-ketone even if the ketose fructose is not strictly a reducing sugar, and provides a positive test since it is transformed into the mannose and aldoses glucose by the base inside the reagent.
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