You wish to determine if there is a negative linear correlation between the age of a driver and the numberof driver deaths. The following table represents the age of a driver and the number of driver deaths per100,000. Use a significance level of 0.01 and round all values to 4 decimal places.Driver AgeNumber of Driver Deaths per 100,00055203821803235205429803174796018Ho: p = 0Ha: p=0Find the Linear Correlation CoefficientFind the p-valuep-value =The p-value isGreater than oLess than (or equal to) aThe p-value leads to a decision toDo Not Reject HoAccept HoReject HoThe conclusion isThere is a significant positive 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 linear correlation between driver age and number of driver deaths.There is insufficient evidence to make a conclusion about the linear correlation between driver ageand number of driver deaths.

Given:n = 8 (no. of data pairs)Pearson correlation coefficient formula:Now, let's make a table in MS…

Answered: You wish to determine if there is 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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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?
Determine whether the data is from a primary or secondary source. Primary Secondary
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Which set of variables has correlation and causation? A. distance traveled and money spent on gas B. distance traveled and money spent on snacks C. distance traveled and number of drinks consumed D. distance traveled and time spent listening to music
The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. 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? 2425 Weight (Ib) Highway (mpg) 2725 2875 3480 4070 4090 3125 34 33 30 25 24 36 31 Which scatterplot below shows the data? O A. OB. C. O D. 40- 40- 40 20+ 2000 20- 2000 Weight (Ib) 20어 2000 20- 2000 Weight (Ib) 5000 5000 5000 5000 Weight (Ib) Weight (Ib) Is there a linear relationship between weight and highway mileage? O A. No, there appears to be no relationship. O B. Yes, as the weight increases the highway mileage increases. O C. No, there appears to be a relationship, but it is not linear. Click to select your answer. 4:21 PM a 17 梦 * v 6/4/2021 W 0 門 e Type here to search Chp ins prt sc delet fg ho ト f8 144 f6 10 f5 f4 IOI esc back & #3 $4 4 T. 6, 00 %24 (6 d) AamH 3. (B dw) Am
Use the data to the right to complete parts (a) through (d) below. Percentage Who Won't Try Don't Approve of Sushi Marriage Equality Generation Millennials y 32 39 Gen X Boomers Silent/Greatest Generation 54 52 61 55 69 66 a. Determine the correlation coefficient between the percentage of people who won't try sushi and the percentage who do not approve of marriage equality. (Do not round until the final answer. Then round to two decimal places as needed.) b. What explanations can you offer for the correlation coefficient in part (a)? Choose the correct answer below. O A. Unwillingness to try sushi and disapproval of marriage equality have a weak positive correlation. O B. Unwillingness to try sushi and disapproval of marriage equality have a strong negative correlation. C. Unwillingness to try sushi and disapproval of marriage equality have no correlation. O D. Unwillingness to try sushi and disapproval of marriage equality have a strong positive correlation. c. Find the equation of…
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3. The data in the table shows the mileage that students commute to school. B. Find the weighted mean. Miles Midpoint Frequency 10 - 14 12 8 15 - 19 17 C. Draw a histogram for the data. 20 - 24 22 9 25 - 29 27 21 30 - 34 32 7 A. How many students are in the class?
Researchers wondered whether the size of a person's brain was related to the individual's mental capacity. They selected a sample of 5 females and 5 males and measured their MRI image pixel counts and IQ scores. Females Males MRI IQ MRI IG The data is reported to the right. Complete parts (a) through (d) below 139 858,472 140 955,003 935,494 924,059 1.079.550 1,001.121 Click the icon to view the critical values table. 991,305 138 141 857,782 833,868 790,619 133 135 132 141 135 140 AMRI 1,080,000- AIO 145 AIO 145- AMRI 1,080,000 780,000 130 130 780,000 130 780,000 780,000 130 1,080,000 145 1,080,000 MRI 145 MRI (b) Compute the linear correlation coefficient between MRI count and IQ. Are MRI count and IQ linearly related? Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) A. Yes, MRI count and IQ are linearly related since the linear correlation coefficient is O B. No. MRI count and IQ are not…
Need working out and best answers for these questions.
The figure below shows relative frequency histogram for 50 employees working in a small construction company classified according to their years of experience. While x-axis represents the class midpoints of experience years, y-axis represents relative frequency for the employees. The value of variance for the years of :experience is between Relative Frequency for Employees 0.45 04 0.35 0.3 0.25 0.2 0.15 0.1 0.05 7.5 Relative Frequency Chart 13.5 19.5 Class Midpoints of Experience Years 25.5 32-34 O 40-42 O 12-14 O 20-22 O 52-54 O
what is the value of r?

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