So, the population went up with every spring season and fell slightly in the winter; it increased within the course of 10 years
That population will have less variability in size which has slower rate of mutation or has experience less mutation.
<h2>What is mutation? </h2>
A mutation refers to a change in a DNA sequence of an organism. Mutations can result from DNA copying mistakes that is made during cell division, exposure to radiation or chemicals which is called mutagens, or infection caused by viruses.
If mutation occurs slowly or not completed, it will leads to less variability in size so we can conclude that the population will have less variability in size has experience less mutation.
Learn more about variability here: brainly.com/question/17031191
A runner HAS to use the anaerobic respiration process,first we need to know the difference between anaerobic respiration and aeorobic respiration
<span>Anaerobic respiration is done by burning glucose directly without the presence of oxygen giving out lactic acid and energy </span>
<span>Aerobic respiration is done by burning glucose and oxygen giving out water + engergy + Co2 </span>
<span>1.) Take a stop-watch </span>
<span>2.) Take TWO or more runners </span>
<span>3.) Unlike Olympic race match ask ONE of the runners to run their fastes and the others to GRADUALLY speed up </span>
<span>4.) make the runners breath hard for air </span>
<span>5.) after finish line </span>
<span>6.) do a test of Lactic through urin test or use Lactometer (don't ask me how to use it 'cause I don't know lol) </span>
<span>7.) check the concerntration </span>
<span>8.) whoever has the LOWEST concerntration,take that runner time for running and meter to find speed you'll be able to spot out who has used aerobic respiration during the race</span>
Answer:
-0.50
Explanation:
For the graph displayed, the most probable value of the correlation Coefficient is - 0.50 ; the line of best fit has a negative skoe and hence will have a negative relationship as the correlation Coefficient is a statistical value which measures the degree of relationship between two variables. Also, the distribution of data in the plot does not give a perfect fit, hence a correlation Coefficient of - 1.0 isn't possible for the distribution shown.
