You read a social media post explaining the correlation (i.e., Pearson's r) between ice cream sales and number ofviolent felonies committed in the month of July. The article author concludes ice cream causes murder. What iswrong with this conclusion?O The researcher used the wrong statistical test.O Correlation does not imply causation.Number of felonies is not a quantitative variable.O These data are qualitative and thus cannot be used to calculate a Pearson's r.

The objective of the question is to identify the flaw in the conclusion drawn from the correlation…

Answered: You read a social media post explaining…

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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Manatees are large sea creatures that live along the Florida coast. Many manatees are killed or injured by powerboats. Below are data on powerboat registrations (in thousands) and the number of manatees killed by boats in Florida in the years 1977 to 1990 (how folks who collect these data know the number of manatees killed by boats is unclear to me). Is there any evidence that power boat registrations is related to manatee fatalities? Pearson correlation should be used for these data.
Answer the questions below. (a) A phone company determined that an increase in income does not indicate a change in a customer's phone usage. What does the analysis show? OThere is no correlation between income and phone usage. There is a correlation between income and phone usage. There may or may not be causation. Further studies would have to be done to determine this. OThere is a correlation between income and phone usage. There is probably also causation. This is because there is likely an increase in phone usage with an increase in income. (b) A music store conducted a survey. It showed that the number of CDs purchased by a shopper decreases with the number of songs he downloaded. What can we likely say? There is no correlation between number of CDs purchased and number of songs downloaded. There is a correlation between number of CDs purchased and number of songs downloaded. However, there is no causation. This is because there is a decrease in the number of CDs purchased with…
You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 60 35 55 23 22 32 40 36 40 18 38 33 80 28 37 25 Ho: ρ = 0Ha: ρ > 0 1/The p-value leads to a decision to Reject Ho Do Not Reject Ho Accept Ho 2/The conclusion is There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. please choose correct answer in each…
please answer blank questions only and or ones with a red x next to them.
Which of the following is NOT one of the three common errors involving correlation? Question content area bottom Part 1 Choose the correct answer below. A. Correlation does not imply causality B. The conclusion that correlation implies causality C. Mistaking no linear correlation with no correlation D. The use of data based on averages
What’s the effect? A researcher studying violent behav-ior in elementary school children asks the children’s par-ents how much time each child spends playing computer games and has their teachers rate each child on the levelof aggressiveness they display while playing with otherchildren. Suppose that the researcher finds a moderately strong positive correlation. Describe three different pos-sible cause-and-effect explanations for this relationship.
What is the null hypothesis of a test for correlation? There is correlation in the population. There is positive correlation in the population. There is no correlation in the population. There is negative correlation in the population.
You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 64 32 55 30 72 36 34 30 31 18 16 29 21 22 32 18 46 24 46 31 Ho: ρ = 0Ha: ρ > 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Greater than αα Less than (or equal to) αα The p-value leads to a decision to Do Not Reject Ho Reject Ho Accept Ho The conclusion is There is a significant linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths. There is…
You are a researcher interested in crime and crime rates. You’ve collected a sample of data from the county level for your state. You hypothesize that the rate of violent crimes will be higher in counties with bigger populations. Based on the below Pearson correlation results, is your hypothesis supported or rejected?
why are correlations useful in econometrics?
ps-5
Does "correlation imply causation"? Give one example in which a variable X ispositively correlated with another variable Y, but we cannot deduce that X causes Y.

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