Answer:
I believe the best answer to be letter A) There is hope amid difficulties.
Explanation:
In Langston Hughes's "Let America Be America Again", the speaker talks of how America was supposed to be a land of freedom and equality, but turned out to be the opposite for many. The speaker himself says more than once that America was never America to him. Still, at the end of the poem, he says America shall be America. The very people who are now oppressed shall claim America and make it what it should have been from the beginning. As we can see, the author has <u>hope</u>.
"I know you are reading this poem listening for something, torn / between bitterness and <u>hope
</u> / turning back once again to the task you cannot refuse." Those are lines from Adrianne Rich's poem "An Atlas of the Difficult Word". The speaker in the poem is well-aware that people are forced to live unfulfilling lives. She is also aware that many of them still have dreams, hopes, loves, thirst for more. No matter how poor, sad, tired, or busy people are, they can still find pleasure in life, even if it is by reading the poem.
Therefore, both poems talk of hope amid difficulties, of keeping on dreaming in spite of what oppression has done to prevent it.
I know for a fact that either B. or C. is correct. I think C.
page two at the end of the first paragraph “panting and lifeless”
Answer:
- <em>D. There is no causation and almost no correlation between the football team playing at home and winning.</em>
Explanation:
The <em>correlation coefficient</em> is a measure of how strength is the relationship between two random variables. This measure quanitifes to what extent two random variables are associated or correlated.
The correlation coefficient can take values from - 1 to + 1.
A correlation coefficient of - 1 means a perfect, negative, linear linear correlation.
A correlation coefficient of + 1 means a perfect, positive, linear correlation.
A correlation coefficient of 0 means that the variables cannot be linearly correlated at all.
For intermediates values of the correlation coefficient, the variables are somewhat linearly correlated; the closer to ± 1 the stronger the correlation, the closer to 0, the weaker the correlation.
A correlatons coefficient of - 0.11 is pretty close to zero, meaning that the two variables, "the location of the game" and "the number of wins" are almost not correlated. Of course, much less could you think about a causation relationship between them.