What is the value of the correlation coefficient?(Round your answer to 4 decimal places.)Assume that the best-fit line of the above data set is a good model for the study. For expectant mothers who smoke 48cigarettes per day, what is the expected percentage of children who will develop asthma by the age of two.percent (Round your answer to 1 decimal place.)r = You are studying the effects of smoking by pregnant women on rates of asthma in theirchildren. You collect data on the number of cigarettes smoked per day and whether or not thechild developed asthma by the age of two. The data is below:Smoked 1-5 cigarettes per day --- 9.2% developed asthmaSmoked 6-10 cigarettes per day --- 10.3% developed asthmaSmoked 11-20 cigarettes per day --- 25.4% developed asthmaSmoked 21-40 cigarettes per day --- 34.8% developed asthmaSmoked 41-60 cigarettes per day --- 38.1% developed asthmaIn order to study the relationship between the number of cigarettes smoked by pregnant women per day and thepercentage of their children developed asthma by the age of two using statistical knowledge, we convert the abovedata into the following format and see if we can obtain an adequate fit using linear regression.Average number of cigarettes smoked per day 3Percentage of children developed asthma815.5 30.5 50.59.2% 10.3% 25.4% 34.8% 38.1%es.

Answered: What is the value of the correlation…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Please explain
You generate a scatter plot using Excel. You then have Excel plot the trend line and report the equation and the r2r2 value. The regression equation is reported asy=55.82x+32.43y=55.82x+32.43and the r2=0.3136r2=0.3136.What is the correlation coefficient for this data set?r =
use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?
Which plot indicates a correlation of 0.7? A R 8 8 in 10 A
For a set of correlated data, you calculate that the correlation coefficient (r) is -0.87. What percent of the variation in the dependent variable is explained by variation in the independent variable? D2L requires decimal format. Convert your percentage to a decimal rounded to the third place. i.e. 51.2218% = 0.512.
Chuck has noticed over the last several years that as he gets older, he also gets more politically conservative. What is the correlation between his age and his conservative leanings?Positive Negative Impossible to Determine ( don't hand writing solution)
It is believed that standardized test scores, such as SAT, is a good predictor of first-year college students' GPA. 750 1200 3.2 1120 1000 1420 1280 1100 2.5 2.7 3.5 2.9 2.2 2.3 1. Find the p-value to determine if there is a linear correlation between SAT scores and GPA. Record the p- value below. Round to four decimal places. p-value = 2. Is there a linear correlation between SAT scores and GPA? 3. If there is a linear correation, write the correlation coefficient below. Otherwise, leave it blank. Round your final answer to four decimal places. T= 4. If there is a linear correlation, write the regression equation below. Otherwise, leave it blank. Round all numbers to four decimal places. 5. Using the data shown above, predict a student's first-year GPA when the student scores a 1275 on the SAT. Round your final answer to two decimal places. 6. If there is a linear correlation, what percentage of variation in GPAS can be explained by students' SAT scores? If there is not a linear…
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 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 21 22 39 21 38 18 23 22 79 36 42 22 65 29 Ho: p = 0 Ha: p= 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is O Less than (or equal to) a Greater than a The p-value leads to a decision to O Reject Ho O Accept Ho O Do Not Reject Ho The conclusion is O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. O There is a significant negative linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation…
Assume the correlation coefficient between advertising dollars spent and sales is .78. How much of the variability in sales is explained by the relationship between sales and advertising dollars? a. 39.16% b. 60.84% c. 78% d. 22%
Please explain simply. Thanks.
Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a percentage of claims. x 3 7 15 32 75 y 40 35 30 26 18 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Would you say the correlation is low, moderate, or strong? positive or negative? strong and negative moderate and negative strong and positive low and negative low and positive moderate and positive (c) Use a calculator to verify that Σx = 132, Σx2 = 6932, Σy = 149, Σy2 = 4725, and Σxy = 2997. Compute r. (Round your answer to three decimal places.)r = As x increases, does the value of r imply that y should tend to increase or decrease? Explain. Given our value of r, we cannot draw any conclusions for the behavior of y as x increases. Given our value of r, y should tend to…
What are the chances your flight will leave on time? To the right are a histogram and summary statistics for the percentage of flights departing on time each month from 2001 thru 2006. There is no evidence of a trend over time. Complete parts (a) through (c) below. n 72 y 80.5417 s 3.04576 65809505101520OT Departure %# of Months A histogram with horizontal axis labeled “On Time Departure percentage” from 65 to 95 with bin width of 1 and vertical axis labeled “Number of Months” from 0 to 20 in intervals of 1 contains vertical bars with heights that exhibit behavior from left to right over intervals on the horizontal axis as follows: a steady increase from 1 to 7 on the interval 67 to 81, a fast increase from 7 to 13 on the interval 81 to 82, a fast decrease to 6 on the interval 82 to 83, then a steady decrease from 6 to 0 on the interval 83 to 90; there are no bars on the…

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS