Answer:The correlated trait exercise shows that when two characters are correlated, the optimal values and selection strengths rise and fall together.
Explanation: Correlation refers to statistical (linear) relationship between two random variables. When traits are correlated, change in one is associated with change in the other.
Correlation coefficient (c.c.) measures strength of association between two variables in the same individual or experiment. It can range from -1 to +1. C.c. can be positive, negative or weak.
1. A positive c.c. means that an increase in one variable is associated with an increase in the other variable.
2. A negative c.c. means that an increase in one variable is associated with a decrease in the other.
3. A c.c. near zero indicates a weak relationship between the variables.
Correlation can be represented by scatter plot as shown in the attached image.
Below are the choices that can be found elsewhere:
a.66 s
<span>b.68 s </span>
<span>c.70 s </span>
<span>d.78 s
</span>
<span>An outlier is a result that is abnormally too high or too low. Most of the results fall between 66 and 70, but 78 seems to be abnormal, so it's your outlier. The answer is D. Hope it helps :)</span>
Answer:
The correct answer is "Statistical Hypothesis".
Explanation:
Given the example, the breeder wants to find the relationship between the two variables which are the effects of bredding and the face length of the boxer breed. He/She is using the statistics of the face length from the years 1915 and 2015 so the type of hypothesis that should be used is "Statistical Hypothesis" which is used when the hypothesis can be verified statistically. I hope this answer helps.
The answer to this question is E. all of the above.
In all of these situations, it is necessary for you to use your headlights to ensure your safety and your ability to see the road in front of you.
Hope this helps!