What is the dependent variable in acorrelational study of ice cream sales andair temperature?O a) the amount of ice cream soldOb) the temperature each dayO cthe number of people buying icecreamO d) a) or c)

The temperature is being observe as the dependent variable which is the ice cream is being measured…

Answered: What is the dependent variable in 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 A: What is the most likely value of the correlation coefficient of the data in the table? Based on the correlation coefficient, describe the relationship between time and surface area of the lake. [Choose the value of the correlation coefficient from −1, −0.98, −0.5, −0.02.] Part B: What is the value of the slope of the graph of surface area versus time between 15 and 20 days, and what does the slope represent? Part C: Does the data in the table represent correlation or causation? Explain your answer.
why are correlations useful in econometrics?
What effect does an outlier have on a correlation coefficient? Would it increase, decrease or stay the same?
What does it mean if the correlation coefficient is 0? Explain in detail
A study of elementary school children, ages 6 to 11, finds a high positive correlation between shoe size x and score y on a test of reading comprehension. The observed correlation is most likely due to: the effect of a lurking variable, such as age or years of reading experience. a mistake, because the correlation must be negative. cause and effect (larger shoe size causes higher reading comprehension). reverse cause and effect (higher reading comprehension causes larger shoe size).
Given two sets of data X and Y, what does a Spearman's Correlation coefficient of 1 indicate about the relationship between X and Y?
What are the limitations of using Pearson's correlation coefficient to measure the relationship between two variables?
After gathering data about the number of starfish and measuring the pollution in areas of the ocean you find a negative linear correlation between pollution levels and number of starfish. What can you conclude based on this information? a. There is a confounding variable that is affecting both pollution and starfish. b. As pollution rises the number of starfish falls c. That pollution is causing starfish to die, leading to the negative correlation d. That pollution is supporting starfish, leading to the negative correlation
Define Test a correlation for significance?
What are the reasons why causal conclusions cannot be made from a correlation?
Explain the concept of Range Restriction, and the issue it may pose to correlation statistics

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What is the dependent variable in a correlational study of ice cream sales and air temperature?