Identify the reasons the following statements are incorrect. Not all reasons will be used.Researchers found that the correlation between the number of vacation daysavailableper year and the employees' years of employment is r = 0.65 days.The correlation between the advertised selling price of cars and the makes of thecars is r = -0.69.A person's diastolic blood pressure and systolic blood pressure are highlycorrelated (r = 1.05).The correlation between total daily snowfall in inches and daily low temperaturesin degrees Fahrenheit differs from the correlation between daily snowfall ininches and daily low temperatures in degrees Celsius.Answer BankOne of the variables should be categorical.Correlation should depend on units.Correlation should be between-1 and 1.Correlation should be greater than 0.Both variables should be numerical.Correlation should not depend on units.

Answered: Identify the reasons the following…

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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Suppose that you are interested in the relationship between Reading and Writing scores. (a) Provide the scatterplot for the association between Reading and Writing scores. Based on the scatterplot, do you expect Reading to be correlated with Writing? If so, based only on the plot, would you expect the correlation to be positive or negative? Explain your answer. (b) Report the value of the correlation between Reading and Writing scores, and whether it is statistically significant. Do these results agree with your expectations from part (a)? RDG WRTG 34 44 47 36 42 59 39 41 36 49 50 46 63 65 44 52 47 41 44 50 50 62 44 41 47 40 42 59 42 41 47 41 60 65 39 49 57 54 73 65 47 46 39 44 35 39 39 41 48 49 31 41 52 63 47 54 36 44 47 44 34 46 52 57 42 40 37 44 44 33 71 58 47 46 42 33 42 36 47 41 52 54 52 54 39 39 31 41 60 54 47 31 39 28 42 36 47 57 42 49 36 41 50 33 34 34 55 55 28 46…
Below is a table showing the relationship between age and bone density of a typical healthy adult male. Age (years) 25 35 45 55 65 75 85 Bone density (mg/cm²) 1165 1135 1085 1060 1015 975 910 Using your line of best fit find the equation for this line. Describe the correlation between the two variables and what conclusions can you make from this set of data? Using graph plotted extrapolate to find the bone density of a 90 years old typical adult.
A researcher found the correlation between math ability and math anxiety is -0.6. Which of the following is NOT correct? The people who have lower math ability tend to have higher math anxiety. The people who have higher math ability tend to have lower math anxiety. Student A has high math anxiety is because she/he has a low math ability
A linear model was fit to predict weekly Sales of frozen pizza (in pounds) from the average Price ($/unit) charged by a sample of stores in a city in 39 weeks over a three -year period. The average Sales were 63, 200 pounds (SD = 10, 670 pounds), and the correlation between Price and Sales was -0.529. If the Price in a particular week was two SD higher than the mean Price, how much pizza would you predict was sold that week?
we can conclude from correlation calculation that one variable caused the other variable. True or False.
Would A be the answer?
What does the sign and actual number tell you in a correlation?
The correlation between autonomy (how independent and in control of their own decisions someone feels) and sleep disturbance is -0.327. Explain this correlation in terms of size and direction (note: use the actual variables in your explanation).
Suppose the correlation between height and weight for adults is +0.40.What proportion (or percent) of the variability in weight can be explained by the relationship with height?
The older that an adult tends to be before deciding to get married, the longer the person's marriage tends to last. What type of correlation exists between age of marriage and the number of years the marriage lasts? A. positive B. negative
Airline fares are increasing as the oil prices are increasing. Is this a positive or negative correlation between the two? Which is the Independent variable? Which is the dependent variable?

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