Here is a bivariate data set in which you believe y to be the response variable.xy47.6101.262.211.288.232.263.351.470.962.774.8125.951.397.457.4113.73811164.592.385.784.484.511.376.56.865.361.333.1102.97629.275.7132.3159.819.5Make a scatter plot of this data. Which point appears to be an outlier?(Enter as an ordered pair.)

The independent variable is x. The dependent variable is y. We have to draw scatter plot and detect…

Answered: Here is a bivariate data set in which…

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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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…
Explain TWO strengths in using mean as a measure of central tendency. The table represents the ages of 250 community women who participated in a gender sensitization forum. Study it and answer the questions that follow. Age (Years) Frequency Percentage Cumulative Frequency Cumulative percentage 21 – 25 16 6.4 16 6.4 26 – 30 29 11.6 45 18.0 31 – 35 43 17.2 88 35.2 36 – 40 47 18.8 135 54.0 41 – 45 56 22.4 191 76.4 46 – 50 37 14.8 228 91.2 51 – 55 18 7.2 246 98.4 56 – 60 4 1.6 250 100.0% Total 250 100.0 250 100 Calculate: The first quartile The third quartile The interquartile range The 45th percentile
A research conducts a study to identify the relationship between variable A and Variable B. The data collected from a random sample is presented in Table 2 Subject Dependent Variable Independent Variable (variable A) (variable B) 1 23.5 19.6 2 21.5 24.7 3 17.5 16.9 4 45.6 22.1 32.1 26.4 6 61.0 55.2 7 15.9 21.5 8 22.6 77.2 9. 34.5 35.8 10 22.1 23.9 11 26.4 23.7 12 23.5 24.2 13 59.9 60.5 14 45.7 46.0 15 43.2 44.1 16 28.4 29.3 17 54.8 55.9 18 37.4 23.5 19 42.3 59.9 20 32.1 45.7 a. What is the suitable correlation test for analyzing the data? b. Analyze the data by using the calculation method. What percentage of the variance in variable A is influenced by Variable B? Explain your answer. c. Report the results of the analysis
South Dakota prices vary $350,000: $400,000:$400,000:$425,000:$429,000: $440,000: $560,000: $585,000,: $585,000: $785,000 : $1,300,000. We found the following Mean = 569000 SD = 272703.1353 T score = .7113 P Value = .4932 CI: 385795.5409,752204.4591 If you had a margin of error of $13,000 how large of sample would you need with a 90% confidence interval using the given tscore.
tab Determine if there is a significant correlation between the sets of data at a 10% significance level. 31 29 57 35 60 62 49 62 50 35 37 32 57 20 X y 55 38 Negative Critical Value, tcrit Submit Question esc Positive Critical Value, tcrit Test Statistic, ttest C 2 F Test Conclusion: Reject Ho. There is enough evidence to suggest a significant (positive or negative) linear correlation between the data sets. W = Fail to Reject Ho. There is not enough evidence to suggest a significant (positive or negative) linear correlation between the data sets. 3 H [three decimal accuracy] [three decimal accuracy] [three decimal accuracy] a E A 4 do *5 R T < 6 Y
Researchers want to know if a tutoring program affects students’ ACT scores. They used a sample of twenty students and tested them before and after the tutoring program. Use Excel to perform a dependent sample t-test to determine whether the difference between the mean pretest score and the mean posttest score is significantly different. Assume unequal variance. Subject Pretest Posttest 1 21 25 2 30 33 3 25 26 4 28 31 5 31 34 6 16 16 7 19 21 8 21 24 9 26 27 10 34 34 11 22 23 12 18 24 13 14 17 14 19 23 15 24 25 16 33 30 17 25 27 18 26 26 19 22 24 20 19 18
The following table shows a sample dataset of observation values of an independent variable, Age, and a dependent variable, number of toys Age 5 3 6 3 4 4 6 8 Toys 13 15 7 12 13 11 9 5 What is the value of Toys when Age is 7 (round your answer without decimal)
The mode of the given data 3, 30, 10,13.9, 41, 56, 30,71,30 is 41 30 3 71 56
Cell Phone Bills The average local cell phone monthly bill is $50.07. A random sample of monthly bills from three different providers is listed below. At a=0.05, is there a difference in mean bill amounts among providers? Provider X Provider Y Provider Z 48.20 105.02 59.27 60.59 85.37 65.25 72.50 61.95 70.27 55.62 75.69 42.19 89.47 82.11 52.34 Null Hypothesis Alternative Hypothesis Critical Value Find the Mean and the Variance F= Make the Decision Summary
A food truck owner recorded the temperature at noon, in degrees Fahrenheit, and the number of bowls of soup sold during the lunch hour for a random sample of 5 days. The data are shown in the following table. Temperature (degrees Fahrenheit) 57 75 43 68 67 Number sold 17 12 20 8 13 The mean temperature of the sample is 62 degrees Fahrenheit, and the mean number sold is 14. What is the correlation between the temperature and the number sold? A -0.85 B -0.68 0.68 D 0.73 E 0.85
Select all true statements below (Multiple or none can be true). With a large, representative sample, the histogram of the sample data will follow the normal curve closely. If two lists of numbers have exactly the same average of 50 and SD of 10, then the percentage of entries between 40 and 60 must be exactly the same for both lists. Half of a list of numbers is always below its average. The median and average of a list of numbers are not necessarily close together.
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