Following this week's empirical application, the scatter plot below plots average rain in a city (verticalaxis) against average PM 10 levels in a city (horizontal axis). Based on this figure, what appears to betrue?Average Rain in a CityuRain vs Pollution by City120Average PM10 in a City160Cities with more rain tend to have less pollutionO Cities with less pollution tend to have less rainO There is no statistical relationship between rain and pollutionO Cities with more rain tend to have more pollution

Given information: The scatterplot for the average rain in the city against the average PM 10 level…

Answered: Following this week's empirical…

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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The data shown below consists of the price (in dollars) of 11 events at a local venue and the number of people who attended. Determine if there is significant linear correlation between ticket price and number of attendees. Use a significance level of 0.10 and round all values to 4 decimal places. Ticket Price Attendence 6 239 10 148 14 101 18 77 22 64 26 57 30 54 34 52 38 51 42 51 46 50 Ho: ρ = 0Ha: ρ ≠ 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Less than (or equal to) αα Greater than αα The p-value leads to a decision to Accept Ho Do Not Reject Ho Reject Ho The conclusion is There is no Significant Linear Correlation between ticket price and attendence. There is no Significant Correlation There is Significant Positive Linear Correlation between ticket price and attendence. There is Significant Linear Correlation between ticket price and attendence. There is Significant Negative Linear…
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 77 28 47 31 74 32 65 32 26 20 79 36 52 29 Ho: ρ = 0Ha: ρ > 0 Find the Linear Correlation Coefficient r = Find the p-value p-value =
The data shown below consists of the price (in dollars) of 7 events at a local venue and the number of people who attended. Determine if there is significant linear correlation between ticket price and number of attendees. Use a significance level of 0.01 and round all values to 4 decimal places. Ticket Price Attendence 6 176 10 111 14 187 18 102 22 190 26 188 30 110 Ho: ρ = 0Ha: ρ ≠ 0 Find the p-value=
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is significant linear correlation between advertising cost and profit . Use a significance level of 0.10 and round all values to 4 decimal places. Advertising Cost Profit 3 23 4 23 5 22 6 26 7 25 8 25 9 25 10 30 11 31 12 31 Ho: ρ = 0Ha: ρ ≠ 0 Find the Linear Correlation Coefficient r = Find the p-value p-value =
A study of emergency service facilities investigated the relationship between the number of facilities and the average distance traveled to provide the emergency service. The following table gives the data collected.
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 0.01 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 66 20 75 32 44 31 44 36 19 23 65 29 61 22 58 25 71 27 Ho: ρ = 0Ha: ρ > 0 Find the Linear Correlation Coefficient r = Find the p-value p-value =
Below are bivariate data giving birthrate and life expectancy information for each of twelve countries. For each of the countries, both the number of births x per one thousand people in the population and the female life expectancy y (in years) are given. These data are displayed in the Figure 1 scatter plot. Birthrate, x (number of births per 1000 pop.) 16.5 35.3 39.8 17.7 30.1 27.0 13.4 47.2 49.6 49.8 48.0 24.5 Send data to calculator Female life expectancy, y (in years) 76.0 66.6 65.7 74.1 64.1 71.7 72.0 56.7 54.4 57.7 63.6 74.5 Send data to Excel Female life expectancy (in years) 85. Figure 1 80- 75- 70. 65. 60 55 50 15 20 25 30 35 40 45 50 55 Birthrate (number of births per 1000 pop.) The value of the sample correlation coefficient r for these data is approximately - 0.909. Answer the following. Carry your intermediate computations to at least four decimal places, and round your answers as specified below. (If necessary, consult a list of formulas.) (a) What is the value of the…
Which scatter plot includes the given data points?
You wish to determine if there is a 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 0.01 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 65 27 34 27 76 24 55 34 71 21 49 24 34 36 27 19 Ho: ρ = 0Ha: ρ ≠ 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Less than (or equal to) αα Greater than αα The p-value leads to a decision to Reject Ho Accept Ho Do Not Reject Ho The conclusion is 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. There is insufficient evidence to make a…
Answer from A to C Also, please use the Statistical tables provided
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
C. Amount of money spent 4. Construct a scatter plot for the following set of data. What correlation exists between the variables? Grade in calculus (x) and grade in entrepreneurship () 78 85 94 90 82 87 77 88 87 85 95 89 81 84 78 88 86 80

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