YearsHeight (cm)0.90.792.03.982.14.814.011.414.829.725.224.26.226.819.091.479.1129.45Create a residual plot for the data using your line of best fit. What conclusions can you drawfrom the residual plot?

YearsHeight0.90.7923.982.14.81411.414.829.725.224.26.226.81991.479.1129.45

Answered: Years Height (cm) 0.9 0.79 3.98 4.81…

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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Calculate the average (mean) of the data shown, to two decimal places X 16.6 25 28.3 7.2 23.2 8.5 29.6 26.4
Using the data from the table Disease or illness less than $35,000 $35,000 - 49,999 $50,000 - 74,999 $75,000 - 99,999 $100,000 or more Coronary heart disease 8.1 6.5 6.3 5.3 4.9 Stroke 3.9 2.5 2.3 1.8 1.6 Emphysema 3.2 2.5 1.4 1.0 0.8 Chronic bronchitis 6.3 4.0 4.4 2.2 2.4 Diabetes 11.0 10.4 8.3 5.6 5.9 Ulcers 8.7 6.7 6.5 4.7 4.4 Kidney disease 3.0 1.9 1.3 0.9 0.9 Liver disease 2.0 1.6 1.0 0.6 0.7 Chronic arthritis 33.4 30.3 27.9 27.4 24.4 Hearing trouble 17.2 16.0 16.0 16.2 12.4 Vision trouble 12.7 9.8 7.5 5.7 6.6 No teeth 11.6 7.8 5.5 4.2 4.1 A) create a line graph plotting Annual family income on the x-axis and prevalence of disease or illness on the y-axis. Include all data points for each disease on the same chart ( i.e.? plot the prevalence for each disease or illness as it's own line on a single chart) B) do any of the chronic disease in the table appear to have a dose-response relationship to annual family income? Justify your…
What is the median?
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…
H.W(3) For the data below: 6.3, 7.0, 7.5, 9.0, 7.7, 7.8, 7.1, 8.1 6.6, 7.2, 8.3, 8.5, 6.9, 7.7, 8.0, 7.3 8.6, 7.1, 8.7, 6.4, 7.7, 7.4, 8.0, 7.6 7.5, 7.2, 7.5, 8.8, 7.8, 7.9, 7.3, 7.0 6.8, 8.1, 8.4, 6.7, 7.1, 8.2, 8.1, 7.7 1. Create a frequency table. 2. Plot histogram and polygon 3. Plot Ascending and descending cumulative frequency.
Explain using evidence from graph a and graph b which graph indicates that the model for the data is a good fit .
A study was done to look at the relationship between number of movies people watch at the theater each year and the number of books that they read each year. The results of the survey are shown below. Movies 10 7 6 10 0 9 1 6 Books 0 0 -0 0 9 0 9 -0 Use the model to predict the number of books read per year for someone who watches 3 movies per year.Books per year = (Please round your answer to the nearest whole number.) Interpret the slope of the regression line in the context of the question: The slope has no practical meaning since people cannot read a negative number of books. As x goes up, y goes down. For every additional movie that people watch each year, there tends to be an average decrease of 0.98 books read. Interpret the y-intercept in the context of the question: The y-intercept has no practical meaning for this study. If someone watches 0 movies per year, then that person will read 8 books this year. The best prediction for a person who doesn't watch…
Save Exercise 11.07 Algo (Inferences About a Population Variance) In 2017, Americans spent a record-high $9.1 billion on Halloween-related purchases (the balance website). Sample data she adults spent on a Halloween costume are as follows. 14 66 23 64 36 39 30 42 53 16 16 99 42 35 65 26 a. What is the estimate of the population mean amount adults spend on a Halloween costume (to 2 decimals)? 24 b. What is the sample standard deviation (to 2 decimals)? 24 c. Provide a 95% confidence interval estimate of the population standard deviation for the amount adults spend on a Hallowe Table 11.1. 24 0= Icon Key Exercise 11.07 Algo (Inferences About a Population Variance) Save
Reference the data in the table provided. Interpret the coefficient in the english column of table 1. English 0.178*** 0.087*** 0.054 Math Science All 0.116 (0.016) 30,312 Student-Owned Books *** (0.047) 10,068 *significant at 10%, **significant at 5%, ***significant at 1% (0.024) 10,115 (0.026) 10,129 Sample Size
Find the mean, median, and mode(s) of the data in the following stem-and-leaf plot. The leaf represents the ones digit. 2 1 46 Part 1 of 3 Find the mean. Round your answer to one decimal place, if necessary. Mean: X Part 2 of 3 Find the median. Round your answer to one decimal place, if necessary. Median: S Part 3 of 3 Find the mode(s). If there is more than one, separate them with commas. O There is no mode. O There is at least one mode. 00.... Mode(s): 4799 X Ś Español
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Years Height (cm) 0.9 0.79 3.98 4.81 2.0 2.1 4.0 11.41 4.8 5.2 29.72 24.2 6.2 26.81 9.0 91.47 9.1 129.45 Create a residual plot for the data using your line of best fit. What conclusions can you draw from the residual plot?