Which set of data would probably show a strong positive linear correlation?a)the number of defective light bulbs produced and the time of the day whenthey were manufacturedb) marks on a history test and the heights of the studentsc) the colour of cars sold and the annual income of the car buyersd)the height of corn in a field and the amount of precipitation during thegrowing seasonacer

We have to find set of strong positive linear correlation

Answered: Which set of data would probably show a…

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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Part 3. A) In a normal distribution, what is the maximum percentage of data that is at 2 standard deviations of the average (in theory)? B) If the z rating is greater than 0, what does that mean? C) The positive slope of a regression line indicates D) Gives an example of a correlation coefficient that indicates a strong positive correlation.
A researcher finds a strong positive correlation between stress and health problems. In other words, the amount of stress you have and the amount of health problems you have move together in the same direction. From this finding, what can the researcher conclude? A) Impossible to tell causation from a correlation B) Stress and health problems are both due to a poor financial situation C) Stress causes health problems D) Health problems cause stress
C) Does the data provide evidence of an association between age and opinion of the band? Justify your answer.
23)
4. What graphical display is the most suitable to show whether there is a relationship between the age of a person and the number of hours per week spent on exercising?
6. Assume that the scatterplot shows the median volume and median value of used cars over the years in the UK used car market. (a) As the data are graphed, which is the independent and which is the dependent variable? (b) Why do you suppose median value and volume have been used instead of the mean? (c) Using the graph, estimate the median value of sales if the median volume of used cars sold is 2.3 million. (d) Use the equation to predict the median value of sales if the median volume of used cars sold is 2.3 million. (e) What other factors besides the price of used cars might influence the volume of used cars sold? Value = 30.97 – 1.211 Volume 40 35 30 25 20 - 15 10 - 0+ 1.5 2 2.5 Median Volume of Used Cars Sold (in millions) Median Value of Used Car Sales (in billions of pounds)
Answer A and B
1) The coefficient of variation for males is? 2)The coefficient of variation for females is? 3) Compare the variability of grade point averages of males and females. Choose the correct answer below. A)The grade point averages of females and males do not vary. B)The grade point averages of females are more variable than males. C) The grade point averages of males are more variable than females. Your answer is not correct. D) The grade point averages of females and males have the same variation.
17
If the correlation between a person’s age and annual income is r=0.60, what does the coefficient of determination r2 tell us about the explained variation? a) 36% of the variation in a person’s annual income can be explained by the predictor variable age. b) 36% of a person’s annual income can be explained by their age c) 60% of the variation in a person’s annual income can be explained by the predictor variable age d) 60% of a person’s annual income can be explained by their age
Which of the following is a characteristic of quantitative data? A It focuses on subjective interpretations and opinions B It is collected through interviews and focus groups. C It can be easily represented using graphs and charts D) All of the above
6. Which of these relationships would be better described with a Spearman's rank coefficient than with a Pearson's coefficient? a. The association between income and educational attainment (measured in years of school) b. The association between hours of sleep and score on an exam C. The association between years aged and price of wine d. The association between ice cream sales and crime rates e. The association between number on NY Times Best Seller List and copies of book sold

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