The data in the accompanying table represent the annual rates of return for various stocks. If you only wish to invest in two stocks, which two would you select if your goal is to have low correlation between thetwo investments? Which two would you select if your goal is to have one stock go up when the other goes down?Click the icon to view the table of annual rates of returns.isIf your goal is to have low correlation between the two investments, you should select Stock A and Stock C, since the linear correlation coefficient for these two stocks is closest to 0.If your goal is to have one stock go up when the other goes down, you should selectsince the linear correlation coefficient for these two stocks2View an exampleWS.XAltAnnual Rates of Returns#3EYear123D4567891011Stock A-0.4800.046C0.1260.316-0.2580.4960 085-0.044-0.011-0.181-0.316Get more help.$4RStock B0.0910.1060.137-0.080-0.032-0.069F0.081-0.0190.0690.0790.276PrintV%5Stock C0.0271.3200.184-0.0640.014-0.1270.087-0.0450.1460.0790.221Dll s4DoneTHOLDStock D O-0.1210.4910.1490.057-0.0920.10.084-0.036G0.068-0.0080.066BYHStock A and Stock C.CECEStock A and Stock B,Stock B and Stock D,Stock B and Stock C,7Stock A and Stock D,Stock C and Stock D.UNPrtScnJ008HomeM9KO10LAltPClear allÔCheck answerGL45I?18:02 PM12/12/2022Backspace

Correlation coefficient is a measure that indicates the strength and direction of relationship…

Answered: The data in the accompanying table…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Government agencies keep data about the income distribution of the population. The Brown family and Mitchell family live in a county with 11,000 families. The Brown family's income is at the 36th percentile. The Mitchell family's Income is at the 19th percentile. (a) Which of the following must be true about the Brown family's income? The Brown family earns about 36% of the highest Income in their county. O The Brown family's Income is in the top half of incomes in their county. O The Brown family earns $36,000. O The Brown family earns less than about 64% of families in their county. (b) Which of the following must be true about the Brown family's and the Mitchell family's incomes? O The Brown family earns $17,000 more than the Mitchell family. O The Mitchell family earns $17,000 more than the Brown family. Both the Brown family and the Mitchell family earn more than the median O income. Both the Brown family and the Mitchell family earn less than the median income. Explanation Check…
Below is a correlation matrix for variables related to the annual salary for 30 employees at a company. The variables are gender (1 for female; 0 for male), age, number of years of relevant work experience prior to employment at the company, number of years of employment at the company, the number of years of post-secondary (college) education, and annual salary. Which variable has the strongest linear relationship with salary? Which two variables have the weakest linear relationship? Interpret the negative correlation between gender and salary
The scatterplot shows the actual weight and desired weight change of some students. Thus, if they weighed 70 kg and wanted to weigh 60, the desired weight change would be negative 10 kg. Explain what you see. In particular, what does it mean that the trend is negative? 10- 5- 0- -5- -10 - -15- -20 50 60 70 80 90 Weight (kg) O The more people weigh, the more weight they tend to want to lose. O The less people weigh, the more weight they tend to want to lose. O The more people weigh, the less weight they tend to want to lose. O People's weights and the amounts they tend to want to lose appear to be unrelated. Desired Change in Weight (kg)
If I conclude that as temperature increases, the number of snowboard sales decrease, this would be a negative correlation true or false?
Help please!
If variable X remains constant as variable Y decreases, the correlation is said to be: zero negative positive strong
A statement is made about correlation. State whether the correlation is positive or negative and whether the correlation is most likely due to coincidence, a common underlying cause, or a direct cause. If there is an underlying cause, state what the underlying cause is. If one directly causes the other, state which is the cause and which is the effect.(a) In Angela's class, the taller students got lower scores on the test.(b) As Thomas's income rose over the last 20 years so has his stress level.
A correlation of 0.95 for two variables X and Y implies that if X increases, there is a 95% chance that Y will also increase. Is this statement true or false?
In general, a zero correlation means as the values of one variable increase, there is a tendency for the values of the other variable also to increase. as the values of one variable increase, there is a tendency for the values of the other variableto decrease. as the values of one variable increase, there is no tendency for the values of the other variable to change in any consistent, predictable fashion. as the values of one variable decrease, there is a tendency for the values of the other variable also to decrease.
Help please!
Explain what correlation is and why two variables might be described as having a negative correlation. Age and education: A survey of U.S. adults showed that there is a negative correlation between age and education level. Does this mean that people become less educated as they become older? why or why not?
A phrase often repeated in this class is "correlation is not causation". Which of the following best describes what this phrase means? Correlation is not causation means that just because two values appear to be related on a graph doesn't mean that one necessarily causes the other. Correlation is not causation means that when we see values that move together (e.g. ice cream sales and murder rates), we can assume that one must be causing the other. Correlation is not causation means that if values move in opposite directions (e.g. average temperature goes down and grades go up), we can assume that one must influence to the other. O Correlation is not causation means that when values are shown to be related in a graph, this is proof that they are not causal.

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